Topic: Data Science

Aishwarya Srinivasan

Aishwarya Srinivasan is a leading figure in the AI revolution, recognized for her leadership in this transformative era. She is also a sought-after keynote speaker at top industry events, where she shares her expertise on AI and machine learning.

Aishwarya worked as a Data Scientist in the Google Cloud AI Services team to build machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform. At Google and IBM, she helped each company leverage AI to generate business value and solve real-world problems, positioning AI as a strategic tool for organizational success. Prior to this, Aishwarya was working as an AI & ML Innovation Leader at IBM Data & AI, where she was working cross-functionally with the product team, data science team and sales to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the technology. She places a strong emphasis on evaluating the performance of machine learning models and their impact on business outcomes.

She is the founder of Illuminate AI, first of its kind non-profit organization for providing resources and mentorship for people who want to build their career in the field of AI. Through this work, she is committed to supporting the next generation of AI professionals and bridging the gap between technical teams and business goals. She is an advocate for open-source technologies, presently an open source Developer Advocate for Deepchecks; previously a developer advocate for PyTorch Lightning and a contributor to Scikit Learn.

Aishwarya has been awarded Trailblazer of the Year by Women in AI in 2022 and Women of Influence by Business Journal in 2022. She holds a post-graduate in Data Science from Columbia University.

She has worked with clients all across the globe and has traveled internationally to London, Dubai, Istanbul, and India to lead and work with them. Her ability to connect with diverse audiences and clients has been key to her international success. She is very focused on expanding her horizons in the machine learning research community including her recent Patent Award won in 2018 for developing a Reinforcement Learning model for Machine Trading.

Aishwarya regularly participates as a speaker at major events such as conferences and professional gatherings, where she leads sessions—including talks and workshops—to educate and inspire professionals in AI.

She is an ambassador for the Women in Data Science community, originating from Stanford University. She has been spotlighted as a LinkedIn Top Voice 2020 for Data Science and AI, which features Top 10 Machine Learning influencers across the world.

She is an ardent reader and has contributed to the scholastic community.

Besides being a data junkie, she is a fitness fanatic who is into martial arts (Krav Maga) and yoga. Her approach to life and overcoming challenges informs her work in AI, emphasizing resilience and personal growth. Through her work, she aims to improve the lives of people by enhancing well-being and quality of life.

Community Involvement

Aishwarya Srinivasan stands out as a driving force in the data science community, dedicating her career to empowering others and advancing the field of AI. As the founder of Illuminate AI, she has created a unique non-profit platform focused on providing resources, mentorship, and guidance to aspiring data scientists and AI professionals. Her vision for Illuminate AI is to break down barriers and make the world of technology accessible to a broader audience, especially those looking to build a meaningful career in data science.

Aishwarya’s influence extends far beyond her technical expertise. Recognized by the Business Journal as a Woman of Influence and celebrated as a LinkedIn Top Voice in Data Science and AI, she consistently leads conversations on the future of AI, business value, and innovation. Her posts and comments on LinkedIn and Instagram offer practical insights, spark thoughtful discussion, and inspire her audience to realize their own potential in the rapidly evolving AI landscape.

Her commitment to open source technologies is evident through her contributions to platforms like Scikit Learn and PyTorch Lightning, where she not only advances technical innovation but also advocates for community-driven growth. As a Developer Advocate for Deepchecks and PyTorch Lightning, Aishwarya actively showcases real-world AI use cases, helping engineers, startups, and business leaders understand how to leverage AI for tangible business outcomes.

Aishwarya’s global perspective is shaped by her experiences working with clients and leading events in London, Dubai, India, and beyond. She frequently takes the stage at international conferences, sharing her expertise and connecting with fellow leaders, engineers, and innovators. Her role as an ML Innovation Leader at IBM Data & AI, combined with her post-graduate degree from Columbia University and her involvement with Stanford University’s Women in Data Science community, underscores her commitment to leadership, mentorship, and lifelong learning.

Passionate about supporting women in technology, Aishwarya has become a role model for women entering the field, fostering an inclusive environment where diverse voices are encouraged to lead and shape the future of AI. Through her work, she continues to provide resources, spark growth, and drive meaningful change—ensuring that the next generation of data scientists and AI professionals are equipped to meet the challenges and opportunities of tomorrow.

Rayid Ghani

Did you vote in 2012? If so, Rayid Ghani may have lent a hand. He was the chief scientist at Obama for America in 2012 and played a groundbreaking role in the campaign. Focusing on analytics, technology, and data, he used online tools like email and social networking to motivate people’s offline actions, from fundraising and volunteering to voting.

Ghani is one of a small number of tech wizards in an increasingly data-driven world. If the 2008 campaign was about charisma and hope, the 2012 campaign was about science and data. Gone is the art of the political campaign. Successful campaigns are no longer run by people who play by gut instinct but instead by people like Ghani. With work that focuses on developing and using machine learning and data mining algorithms to solve challenges in business, government, and politics, he helps organizations make the most out of their institutional knowledge. In today’s data-centric, competitive world, businesses need to utilize increasingly targeted approaches to attract consumers. One of the leading experts in this field, Rayid Ghani addresses how data, analytics, and communications advances can be used to influence and change consumer behavior. He tells stories from his time in the Obama camp and shares successes about using the latest tools and applying big data to organizations.

At Obama for America, Ghani aimed to convert the vast amount of data collected through large commercial databases, boutique lists, voter files, social media sites, and an unprecedented quantity of voter interviews into a source of valuable data. With the use of sophisticated analytics, algorithms, and machine learning, the insights from the data were used to galvanize the campaign and predict voters’ views on particular issues like abortion and the economy. Armed with this information, the campaign was more focused in its message, and the result was vastly increased efficiency in fund-raising and volunteer and voter mobilization.

Before Obama for America, Ghani worked at Accenture Technology Labs for 10 years as a research scientist and the director of analytics research. His work closed the gap between academia and business and spanned a variety of industries, including healthcare, retail and consumer packaged goods (CPG), manufacturing, intelligence, and financial services. Ghani mined mountains of private corporate data to find statistical patterns that could forecast consumer behavior. He then helped organizations find and use patterns in consumer behavior to develop targeted strategies for individual preferences. For example, he deployed algorithms that replaced health insurers’ random audits, to anticipate which of 50,000 daily claims were most likely to require individual attention.

Ghani’s work has been published in more than 50 academic publications with more than 2,000 citations. He has received myriad media mentions on TV and in publications like TIME, The New York Times, Slate, Businessweek, Financial Times, Chicago Tribune, and U.S. News & World Report. He has also been featured in books, such as The Numerati and SuperCrunchers. Ghani’s interests span a whole gamut from general machine learning and data mining to privacy preserving data mining, text mining, semi-supervised learning, active learning, information retrieval, NLP, and knowledge management. He has filed for 15 patents and seven have been awarded so far.

Moriba Jah

Dr. Moriba Jah is the Director of the Computational Astronautical Sciences and Technologies (CAST) group within the Institute for Computational Engineering and Sciences at The University of Texas at Austin, where he is also an Associate Professor of Aerospace Engineering and Engineering Mechanics in the Cockrell School of Engineering. He holds the Mrs. Pearlie Dashiell Henderson Centennial Fellowship in Engineering and trains a new generation of astrodynamicists and space traffic leaders through research and education at the intersection of engineering, policy, and commercialization. He has authored more than 100 scientific articles, columns, and book chapters, including a handful of op-eds. A highly sought public speaker, he has given more than 50 lectures, speeches, and invited talks in the last few years, such as testimony for hearings of U.S. Senate committees, keynotes for business meetings, plenary lectures for scientific conferences, lecture series for NATO’s Science and Technology Organization, TED and TEDx talks, and the Air Force Research Laboratory’s INSPIRE series. Dr. Jah has served as a member of the U.S. delegation to the United Nations Committee on the Peaceful Uses of Outer Space (UN-COPUOS) and is the chair of the NATO SCI-279-TG activity on defining a Common NATO Space Domain Awareness Operating Picture.

As a professor, Dr. Jah has taught undergraduate and graduate courses at UT Austin related to space and astronautical sciences. Dr. Jah's research focuses on the convergence of policy, technology, and security related to space traffic management and space situational awareness. Government agencies such as the Department of Defense, Air Force Research Laboratory, and others as well as non-governmental organizations and private industry have featured Dr. Jah's research in their own decision-making processes.

His expertise, opinions, and research have been published, cited or featured in many media outlets, including the SpaceWatch Global, pace News, Wired, ROOM, NatGeo, NPR, BBC, ABC, and others.

Prior to being at UT Austin, Dr. Jah was the Director of the University of Arizona’s Space Object Behavioral Sciences with applications to Space Domain Awareness, Space Protection, Space Traffic Monitoring, and Space Debris research. Preceding that, Dr. Jah was the lead for the Air Force Research Laboratory’s (AFRL) Advanced Sciences and Technology Research Institute for Astronautics (ASTRIA) and Technical Advisor to the Guidance, Navigation, and Control Program at AFRL’s Space Vehicles Directorate. He received his B.S. in Aerospace Engineering from Embry-Riddle Aeronautical University, Prescott, Arizona, and his M.S. and Ph.D. in Aerospace Engineering Sciences from the University of Colorado at Boulder specializing in astrodynamics and statistical orbit determination. Before joining AFRL in 2007, he was a spacecraft navigator for NASA’s Jet Propulsion Laboratory (JPL) in Pasadena, CA, serving on Mars Global Surveyor, Mars Odyssey, Mars Express (joint mission with ESA), Mars Exploration Rovers, Hayabusa (joint mission with JAXA), and the Mars Reconnaissance Orbiter. Dr. Jah founded the American Astronautical Society’s (AAS) Space Surveillance Technical Committee and Chaired the AIAA Astrodynamics Technical Committee. He is a member of the Astrodynamics Committee of the International Astronautical Federation (IAF) and a permanent member of the Space Debris Committee of the International Academy of Astronautics (IAA). Dr. Jah is an elected member of the International Academy of Astronautics (IAA), a TED Fellow, a Fellow of the American Institute of Aeronautics and Astronautics (AIAA), the International Association for the Advancement of Space Safety (IAASS), the AFRL, the AAS and the Royal Astronomical Society (RAS), as well as an IEEE Senior Member, Associate Editor of Elsevier’s Advances in Space Research, Acta Astronautica, and Space Safety Engineering Journals.

Dr. Jah has recently joined the Privateer team as Chief Scientific Advisor. Apple co-founder Steve Wozniak recently co-founded the space venture with the mission to drive space sustainability. The startup is addressing space sustainability and creating solutions to make orbits around Earth safe and reliable.