Shreyas Lakhtakia
About Shreyas Lakhtakia
Shreyas Lakhtakia is a professional in strategic initiatives, currently working in the Office of the CEO at General Catalyst. He has extensive experience in data science and product management, particularly in healthcare AI, and has contributed to significant advancements in the field.
Current Role at General Catalyst
Shreyas Lakhtakia currently serves in the Strategic Initiatives team within the Office of the CEO at General Catalyst. He has held this position since 2024, contributing to the firm's strategic projects and initiatives. His role involves collaborating with leadership to drive key initiatives that align with the company's vision and objectives.
Experience at Flatiron Health
Lakhtakia worked at Flatiron Health in various capacities from 2018 to 2023. He started as a Data Scientist focused on Anomaly Detection and transitioned into a Product Manager role overseeing Machine Learning projects. He also led Responsible AI Initiatives and served as a Senior Data Scientist for Machine Learning in Risk Prediction. His leadership in these roles contributed to the development of significant AI products and data sources in cancer care.
Educational Background
Shreyas Lakhtakia holds a Master's Degree in Computational Science from Stanford University. He also earned a Bachelor's Degree in Electrical Engineering with a focus on Machine Learning from Princeton University. Additionally, he has been a Predoctoral Fellow in AI at Harvard University, where he worked with notable researchers in the field.
Contributions to AI and Healthcare
Lakhtakia has made significant contributions to the field of AI in healthcare. He developed AI products that led to two patents and improved care for over 5,000 cancer patients. His work has been recognized in major publications, highlighting his efforts to address racial bias in healthcare AI, impacting over 70 million Americans.
Previous Experience and Impact
Before joining Flatiron Health, Lakhtakia briefly worked at Oscar Health in Data Science for Special Projects and at The Boston Consulting Group as an Associate. His work has contributed to substantial savings in manual efforts through AI product development, totaling over $500,000.