Global Biz Outlook has chosen to honor over 50 of the incredible women who are advancing AI, as just 22% of AI experts worldwide are female. Take a look at the list below!
Chief Technology Officer Mira Murati of OpenAI is in charge of the teams behind DALL-E and ChatGPT, an AI chatbot that has just become incredibly popular.
She graduated from Dartmouth’s Thayer School of Engineering with a Bachelor of Engineering. In 2018, Murati took a chance on artificial intelligence, rising to the position of vice president of OpenAI’s partnerships and applied artificial intelligence before receiving a promotion to CTO.
She is a supporter of artificial intelligence regulation.
The formation of the Scotford Predictive Analytics team, which will be essential to our conversion into an Energy + Chemicals Park, was made possible in large part by Leily. Leily’s leadership and extensive background in data science and analytics have been crucial in establishing our team, implementing Agile working methods, and creating a range of fresh development prospects.
Alicia is OffWorld’s Chief Technology Officer and Co-Founder. She is at the forefront of developing cutting-edge industrial Swarm Robotic Mining systems driven by AI. Alicia and her team are bringing in a new era of entirely electric zero-carbon mining on Earth for a greener planet by developing precision robotic mining for ore bodies deep down and in severe untested settings. They are also getting ready to transfer those technologies to the Moon, Mars, and beyond. Alicia’s leadership and efforts are critical to human civilization’s long-term progress into outer space since fresh terrain must be mined before cities can be created. With the use of cutting-edge technology, Alicia is not only upending the conventional, occasionally antiquated mining industry but also promoting the establishment of new jobs in the field of artificial intelligence. By now, she has expanded OffWorld to employ close to 100 people in four different countries. With a strong focus on the integration of new disruptive technologies, hardware and software systems, artificial intelligence (AI), and end-to-end autonomous operations with remote human supervision, her expertise is in the design, development, and operation of robotics and space system architectures. With a Ph.D. in Aeronautics and Astronautics from Stanford University, Alicia is a real trailblazer at the forefront of emerging technology. Her main objective is for humanity to advance into space so that it can utilize, know, and be more.
At INTEL, Hind Azegrouz (PhD) serves as the EMEA Lead for Edge Inference. She held positions as an advanced analytics manager at Avanade, an advanced research fellow at the Massachusetts Institute of Technology, a research scientist at the Spanish National Center for Cardiovascular Research, and an architect for data and artificial intelligence for the oil and gas business Repsol before taking on her present position.
With an emphasis on computer vision applications, Hind completed her PhD studies at the Edinburgh Joint Research Institute (run by the Universities of Edinburgh and Heriot-Watt University). She works at ENSEIB (Bordeaux, France) as an electronics engineer as well. Hind teaches statistics, mathematics, and computer vision as an assistant professor at the IE Business School.
At Aiera, the top platform for financial event intelligence and generative AI supporting institutional finance, Catherine Harrison Culp holds the position of CCO. Catherine is arguably the most significant asset to our organization, contributing to almost every aspect of Aiera’s operations. Having been a part of the company’s founding team, she has played a key role in gaining over 100 prominent institutional finance and asset management clients, who now rely on Aiera to streamline their operations throughout earnings, conferences, and other periods.
Ipsita Mohanty is a Walmart Global Tech applied scientist/software engineer who serves as the technical lead for machine learning and works on several important product and research projects. She graduated from CMU’s Heinz College with a Master of Information Systems Management degree. Ipsita developed trading and machine learning algorithms for six years as an Associate at Goldman Sachs’ Global Market Division, working out of Bengaluru and London before enrolling in her master’s degree. Her research encompasses computer science, deep learning, and human psychology, and she has published works on natural language understanding.
Since joining the Inify team in the latter quarter of 2022, Faranak has made significant contributions to the company’s thorough research and development of accurate algorithms for the identification of prostate cancer. She has made a name for herself as an important contributor to our quest for universal access to cutting-edge cancer diagnosis thanks to her curiosity and expertise.
At NVIDIA, Shyamala Prayaga is a well-known expert in the fields of deep learning and conversational artificial intelligence. Alongside 200 other women leaders, she was named one of the top 40 Voice AI Influencers and a Women Leader in Conversational AI, Class of 2023. Shyamala is listed among the Top 200 Business & Technology Innovators in the World. In addition, Shyamala is an outstanding writer who has published works on close calls and emotionally engaged digital assistants. She is also a senior member of IEEE.
She has accomplished amazing work on the African continent in the areas of research, legislation, innovation, and AI applications. We all love to call her #aiMOM who speaks African!
From coaching and mentorship to right protection and much more. She also focuses on raising awareness generally and developing policies throughout the continent. She is an inspiration!
Rebecca has long wished for AI technology to serve the needs of algorithm creators as well as users. She observed numerous instances of AI failure and envisioned universal mechanisms that would protect AIs and maximize their potential. She established Aligned AI to realize this vision, and she continues to do so every day.
Co-founder and COO of Fairly AI Fion Lee-Madan bridges the oversight gap between tech and policy experts to assist businesses in operationalizing responsible AI and maintaining control over their technology.
When it comes to the creation of standards and client support for the application and defense of artificial intelligence methods, Anna has been a trailblazer.
Beate, who has a wealth of expertise in various areas, including AI, business intelligence, IT strategy, automotive, and many more, serves as CIO of Volkswagen AG. Beate is passionate about influencing strategy for future generations and likes to discuss IT, diversity, sustainability, and cyber safety. She plays a significant role in the UN’s efforts to use AI to further sustainability objectives.
Rosona is a machine learning engineer at BASF right now. Rosona has been a data professional for five years. She started her career in industry as an academic in mathematics and was awarded a Max Planck research scholarship. thrives in cooperative teams with proactive, self-sufficient members. Having worked on every stage of the machine learning life cycle, from requirements engineering to productionization, she is particularly driven by structural problem-solving techniques that convert business potential into business value and successfully implement promising prototypes into production.
Gloria is an active member of the ML community and practices machine learning. She used to work at IBM as a Data Scientist, creating machine learning models for business transformation. Later on, she started investing in AI and MLOps firms. She is a board member of BentoML, an open-source MLOps startup.
With worldwide responsibility for privacy and data protection issues relating to Mastercard’s AI solutions and usage, Jasmien César serves as Senior Counsel of Privacy and Data Protection for Artificial Intelligence at the company. In addition to overseeing the promotion of Mastercard’s privacy stance on AI, Jasmien supervises the creation of the company’s global strategy and policy for incorporating privacy into the design of AI-powered products and making sure they are reliable and human-centered. Jasmien worked for five years as an IT and data protection attorney at the Brussels office of the global law firm Bird & Bird before joining Mastercard in 2019.
Jyoti has worked with businesses ranging from very early-stage startups to large multinational organizations. She has about ten years of experience in the tech industry, with the majority of those years being focused on Natural Language Processing (NLP). Her experience includes but is not limited to knowledge graphs, conversational AI, ontology development, recommendation engines, and semantic search. T-shaped in nature, Jyoti has worked in a variety of NLP-related capacities, including user research, product management, roadmap development, identification of key metrics, data governance, quality and integrity of data, and data security. She has also implemented the most recent NLP research papers, productized state-of-the-art NLP solutions, worked on backend engineering to implement NLP models, and worked in DevOps, MLOps, data engineering, and ML/NLP engineering.
With a Ph.D. in Human-Computer Interaction and training as a Telecommunications Engineer, she has over a decade of experience in the User Experience sector. Beatriz had seven years of experience at the Polytechnic University of Madrid working in research and innovation. Throughout her research career, she concentrated on voice interaction design, embodied conversational agents, and speech technologies.
Beatriz, who is passionate about both technology and user experience, works to make the technology sector more accessible, relevant, and human.
Dr. Carmen Martinez works for FlixBus as an Ethnographer of Communication and Conversation Analyst in Conversational Artificial Intelligence. She models text- and voice-based human-to-machine talks, develops visual solutions for graphical and multimodal conversational agents, and automates customer service interactions. She is an expert in human-to-human conversation and contributes to a cross-disciplinary team. Carmen is the author of “Conversar en español: un enfoque desde el Análisis de la Conversación,” which was published by Peter Lang Berlin. She has a PhD in conversation analysis.
Dr. Henrike Mueller works as a Technical Specialist for the Financial Conduct Authority’s (FCA) Innovation Department. Since 2017, Henrike has been in charge of the FCA’s external policy approach to artificial intelligence (AI) and machine learning.
Cortnie Abercrombie is a recognized expert on fostering innovation sustained by ethical AI practices, having been named one of the “12 Brilliant Women in Artificial Intelligence & Ethics to Watch in 2018” by Medium, one of the “Top 100 Innovators in Data and Analytics in 2018” by Corinium Intelligence, and one of the “10 Big Data Experts to Know” by Information Management. She counsels teams, organizations, venture capitalists, and startups. She founded AI Truth, a nonprofit organization that promotes the development and application of morally and responsibly constructed AI systems. She created the first AI solutions for Fortune 500 firms at IBM, and she is well known for creating data-driven enterprises and Chief Data Officers. Forbes, Inc. Magazine, Medium, CRN, KDNuggets, The Cube, CEO Forum, Diversity in Action, and Chief Content Officer Magazine are just a few of the publications she covers.
Tessa specializes in the moral management of algorithmic and data-intensive systems, taking explainability, accountability, transparency, and justice into account. She is a member of an international research group that investigates how trust is established in digital settings and has delivered Responsible AI initiatives spanning governance, training, and resource creation in the fields of scientific publication and health.
Technical Lead at E.ON Software Development and Team Lead at CAI Romania are Catalina Baincescu’s current positions. At E.ON, she oversees the development of many chat and voice assistants across the globe, ranging from basic FAQ bots to intricate transactional assistants that are used across various customer-facing platforms. Catalina helps E.ON business units meet their demand as efficiently as possible by talking with them and offering advice on how their systems architecture may work with the platforms that the E.ON group uses. With a degree in computer science, Catalina has been teaching the fundamentals of the subject to students in Romanian schools through volunteer work.
Supreet works for Morgan Stanley as an AVP. She worked as a management consultant at ZS Associates before joining Morgan Stanley, where she developed data-driven solutions for Fortune 500 clients and streamlined various operations. Because of her intense enthusiasm for technology and artificial intelligence, she founded the DataBuzz community, where she advises those wishing to change careers in this area and engages the public by discussing the newest developments in these fields.
Deena created artificial intelligence (AI) solutions to automate cognitive operations, giving people more room to realize their full potential since she believes that every one of us has unrealized potential. She gives someone the chance to reach their full potential with each AI solution she implements. At Bayer, Deena works as a Lead Data Scientist. Deena joined Recogizer as a Data Scientist after working as a Teaching and Research Assistant at the University of Bonn after earning her MSc in Life Science Informatics.
Dr. Bauta is a highly skilled specialist in global public health, healthcare data systems and services, assessment, and translational research. She was chosen by CDO magazine to be one of the top 100 data and analytics experts in 2021, as well as a Global Data Power Woman and major influencer in reshaping the corporate landscape and developing the area of data and analytics in 2020 and 21. Dr. Bauta is a published writer with articles on strengthening health and mental health systems, non-communicable illnesses, and mental health. Her current research focuses on improving health systems to improve health outcomes, protecting health information, and ethical practices in implementing artificial intelligence and augmented intelligence technologies in human services. She has worked on health and mental health projects both domestically and internationally.
As Vice President and Group Product Manager for Conversational AI at KeyBank, Robbi is in charge of developing Conversational AI capabilities throughout the company by managing a cross-functional team of engineers, designers, data scientists, and product managers. Robbi and her group are revolutionizing the customer experience by launching a voice and chat omni-channel platform. She has been in charge of technological efforts for more than 20 years in the financial industry, and she has a track record of increasing customer value and corporate expansion. Robbi is enthusiastic about going above and beyond for her clients by enhancing communication via the use of appropriate technologies.
As a Principal AI Research Scientist in the Chief Digital Office Innovation team at US Bank, Dr. Sherin Mathews is in charge of advancing creative ideas at the nexus of artificial intelligence and financial services and reinventing finance through AI solutions. Sherin worked as a research scientist at McAfee, Intel Corporation, and Canon Inc. before joining the U.S. Bank. She has played a key role in creating next-generation security solutions that enhance and boost the efficacy of cybersecurity goods through the use of computer vision and deep learning techniques. Explainability, Fairness, and Ethics in Security is a notion that Sherin pioneered within the Office of the CTO for Intel Security/McAfee. She also created tools for misinformation detection, deepfakes, steganography assaults, and ransomware attack detection.
Maria has earned her bachelor’s degree in telecommunication engineering and is now a Biomedical Engineer with a strong emphasis on computer science and machine learning. Her expertise spans the following areas: preprocessing, image analysis, segmentation, tracking, registration, classification, MRI, EEG, and ECG. Pattern Recognition (PR), Deep Learning (DL), Computer Vision (CV), Machine Learning (ML), Convolutional Neural Networks (CNN), Transfer Learning, Classification, Regression, and Supervised Learning Object Detection are some of her primary artificial intelligence proficiencies.
At TU Kaiserslautern, Prof. Dr. Katharina Zweig teaches theoretical computer science and is the director of the Algorithm Accountability Lab. Her creation, Socioinformatics, is a brand-new academic discipline that analyzes and examines the relationship between software and society. Katharina is a member of the “Artificial Intelligence” commission that provides advice to the German Bundestag. In addition, she provides algorithm ethics advice to national media authorities, religions, ministries, and political parties. She has received numerous awards; in 2019, the German National Research Foundation (DFG) will give her the Communicator-Price. She also co-founded Trusted AI GmbH in 2019 to provide ethical software application advice to people, businesses, and governments.
Carolyn Phillips works for Wayfair as a Senior Staff Machine Learning Scientist. Her area of expertise is integrating large-scale machine learning science research into engineering production systems. Carolyn is passionate about creating sophisticated, straightforward, yet useful solutions that facilitate innovation. After receiving her Ph.D. from the University of Michigan in Applied Physics and Scientific Computing, Carolyn started working as a computational scientist at Argonne National Laboratory. If pressed, she would be happy to wax lyrical about the self-assembly of icosahedral quasicrystals.
With over twenty years of experience in the healthcare industry, Amy is a highly motivated healthcare professional with a strong academic background in applied data science and advanced analytics. She has a demonstrated track record of managing successful projects in demanding business environments by utilizing her problem-solving, organizational, and communication skills. Amy holds a Black Belt certification in Six Sigma as well.
Chathuri Daluwatte is a successful scientist and engineering leader with a background in product development and medical research. She has successfully driven transformative impacts in the life sciences industry, including pharmaceuticals, medical devices, and the FDA. Chathuri has worked at Sanofi for almost 4 years in a range of AI and data science positions; before that, she held several positions in the biotechnology and healthcare industries.
19-year-old machine learning developer Alishba Imran is focused on energy storage and hardware/automation acceleration.
Alishba oversees ML perception and prediction initiatives at Cruise and has conducted research on RL-based simulation at NVIDIA. She is also working with O’Reilly to produce a book on her work concurrently. In the past, Alishba oversaw neuro-symbolic AI for Sophia the Robot, the most human-like robot in the world, and directed machine learning research at SJSU/the BLINC lab to lower the cost of prosthetics from $10,000 to $700. To create broad machine intelligence and deep learning applications to find new materials and batteries for climate change, Alishba makes use of hardware and machine learning. She is a researcher at Berkeley AI Research Lab at the moment.
Senior research scientist Xinyun Chen works for Google Research’s Brain team. Her doctorate in computer science was awarded by the University of California, Berkeley. Her work focuses on the nexus of security, programming languages, and deep learning. Neural-symbolic thinking, learning-based program synthesis, and reliable machine learning are the main areas of her current research. She was awarded the Rising Stars in Machine Learning award in 2021 and the Facebook Fellowship in 2020. Her work AlphaCode was featured on the front cover of Science Magazine, and SpreadsheetCoder, which predicts spreadsheet formulas, was integrated into Google Sheets.
With a focus on healthcare, Kelley has over 20 years of expertise in the IT sector. She does best in settings that are receptive to change and innovation. Among the numerous facets of software development, cloud migrations, and product management that Kelley has worked on are integrations, installations, and EMR/EHR solutions for portfolios 1B(+). Additionally, Kelley has extensive experience re-engineering business procedures and technological platforms that serve the healthcare industry, including laboratory and life sciences, acute and post-acute care, hospice care, and dialysis.
Doina Precup is a Canadian researcher who resides in Montreal. Her field of expertise is artificial intelligence. Precup holds the Canada research chair in machine learning, a senior fellow at the Canadian Institute for Advanced Research, and is associate dean of research at McGill University’s faculty of science.
Precup carries out basic research on reinforcement learning, focusing on AI applications in socially significant domains like healthcare. Her area of study is machine decision-making in high-uncertainty scenarios.
In addition to leading Deepmind’s Montreal branch, she is a fellow of the Association for the Advancement of Artificial Intelligence and a senior fellow of the Canadian Institute for Advanced Research.
Sara is a seasoned professional at the senior level who has proven to be able to lead, create, disrupt, and bring strategic ideas to life with a collaborative, skillful ease. The University of Kentucky awarded her a Bachelor of Science in Communications. Sara previously held the positions of Vice President of Sales for U.S. Voice & Data, Vice President of Partner Sales for ZirMed, and Vice President of Operations for Prism Medical Ltd.
A seasoned leader in data and machine learning products, Sharon Shahrokhi Tehrani is committed to creating, putting into practice, and distributing scalable AI and ML algorithms that have a significant positive influence on business. Her area of expertise is data-driven solutions that improve platform performance and customer engagement.
She is the machine intelligence retention team’s product manager at CBC. In particular, she oversees a project that seeks to collaborate with content and digital product teams to impact business choices around data-driven solutions and implementation. Delivering data and an ML platform to content teams will enable them to create and publish material both short- and long-term, publish on digital platforms, and make strategic decisions that will improve the quality of relevant, varied, and personalized content that is offered to Canadians.
Throughout her 20-year career, Tatyana has held positions as a programmer, senior executive at Big 5, and founder & CEO of Open Health Network. Her ability to advise and guide Fortune 500 and startup organizations through their business issues has earned her recognition as a thought leader and mentor. Azerbaijan State Oil Academy awarded her a Master of Science in Computer Science. She is presently a Resident Mentor at the Branson Center of Entrepreneurship – Caribbean and 500 Startups. Tatyana is also the CEO of TEDxBayArea in San Francisco and an advisor for ActivityHero.
At the Ericsson Global Artificial Intelligence Accelerator, where she leads creative AI/ML solutions for the next wireless communication networks, Hakimeh Purmehdi is a senior data scientist. The University of Alberta, Edmonton, AB, Canada’s Department of Electrical and Computer Engineering awarded her a Ph.D. in electrical engineering. She completed her postdoctoral studies in AI and image processing at the University of Alberta’s Department of Radiology. She worked as a research engineer at Microsoft Research (MSR) and was a co-founder of Corowave, a firm that developed non-contact bio-signal monitoring, before joining Ericsson. Her primary areas of interest include the intersections of biotech, AI solutions (such as online learning, federated learning, reinforcement learning, and deep learning), and wireless communication (5G and beyond).
Tina is a deep tech enthusiast, manager, and technical evangelist for artificial intelligence and its use in business. She is the Director of AI at K.I.E.Z. Tina is a member of the BMWK “Junge Digitale Wirtschaft” advisory council and the chair of the Federal Ministry of Education and Research’s Technological Sovereignty Advisory Council. As head of the working group on research transfer, she is in favor of the German KI Bundesverband (Federal Association for AI).
At Winterlight Labs, Jekaterina Novikova serves as the Director of Machine Learning. Canadian startup Winterlight Labs is creating a cutting-edge AI-based diagnostic tool that can track and objectively evaluate cognitive health. The tool is located in Toronto. In her work, Jekaterina examines artificial intelligence in the context of human-machine interaction and language understanding, describing the cognitive, auditory, and linguistic states of speakers. 2015 saw Jekaterina graduate from the University of Bath in the UK with a PhD in computer science.
With fourteen years of experience, Maria is a data scientist and analytics specialist who uses predictive and prescriptive models to create customer journeys and insights. Over the years, Maria has developed and educated a team in data science, offered data science solutions, and conducted data science consultancies in Pakistan, Ukraine, Bangladesh, Russia, Italy, and Canadian markets. She has collaborated closely with product managers, marketers, and leadership to help them create future roadmaps and business plans and use data science output for ATL and BTL campaigns. Maria possesses vast expertise in constructing models for predicting customer attrition and income, generating social network diagrams, building product suggestion engines, and conducting in-depth behavioral analysis.
At TD’s Layer 6 AI, Paige assumed worldwide responsibility for the whole lifetime of every use case within the bank. Throughout her career, Paige has used her knowledge to advance society. As a Senior Manager at Vector Institute, she worked with Canada’s biggest financial institutions, consulting firms, government agencies, and regulators to combat financial crime.
Olga works at RBC as a Director of Strategic Analytics and Data Science, where she uses automation and machine learning to optimize capacity. She has over ten years of experience in the field of data science. Olga uses analytics, machine learning, and visualization to make data come to life. Apart from her employment at RBC, she has collaborated closely on diverse data science and analytics projects with international institutions like the World Resources Institute and UN Environment World Conservation Monitoring Center, in addition to well-known Canadian nonprofits like Rainbow Railroad and War Child Canada.
Asha is enthusiastic about bringing technology and data-driven solutions together to generate new business opportunities. She has over 15 years of experience driving global-scale solutions for the financial and healthcare industries. She has successfully developed data science solutions and data platforms with governance, security, privacy, and ethics to enable the best possible implementation of data science capabilities. She has deep knowledge of both commercial and R&D pharmaceuticals, providing services for patients, healthcare professionals, and strategic customer groups. To address clinical and scientific concerns, Asha has also formed partnerships with data providers, digital health technology companies, and healthcare institutes.
Data scientist Yuanhui Lang has eighteen years of expertise in using data science to address business issues. She has expertise in developing long-lasting data infrastructure, creating and executing data solutions, and creating and executing machine learning algorithms.
Robotics, automation, machine learning, and artificial intelligence are areas of great interest for University of Toronto professor Angela. In addition to working at the Vector Institute for Artificial Intelligence in Toronto, she has been an associate professor of robotics at the University of Toronto since 2020. The Canadian Institute for Advanced Research’s Canada CIFAR AI Chair was the most recent honor bestowed upon Angela among her many honors.
Sanja is an associate professor at the University of Toronto, a vice president of AI research at NVIDIA, where she oversees a research lab in Toronto, and an affiliated faculty member at the Vector Institute, where she was a founding member. She worked as a research assistant professor at the Toyota Technological Institute in Chicago, an academic institution situated on the University of Chicago campus, until moving to Toronto in 2012–2013. She works in the fields of machine learning and computer vision. Her primary areas of research interest are interactive techniques for picture annotation, 3D vision, 3D reconstruction and synthesis, and the interface of computer vision and graphics.
skilled data scientist with experience in the healthcare industry, with a focus on machine learning and optimization. competent solutions architect with experience utilizing RWD to compress basic actionable insights into data products that meet the demands of clinicians. adept at creating analytics tools that combine data at the member level from several EHRs. passionate about population health informatics with a natural ability to link data at the population level to support intelligent modeling. competent in creating solutions, project architecture, and final product delivery. I’m motivated to encourage others to use clinical data for good by raising awareness of its abundance.
At GE Healthcare, Sage Witham oversees the research programs for clinical collaboration and artificial intelligence. The supervision of AI research and product development initiatives that support GEHC and research partners worldwide is the responsibility of Sage, a Boston-based company. She collaborates with affiliated companies and acts as a link to GEHC’s product development teams to guarantee that shared goals are met quickly and effectively. Sage graduated from Northeastern University with a bachelor’s degree in business administration. She has over seven years of GE experience, having worked in cross-functional project management roles to support business objectives in several GE businesses.
