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Two Indian Americans named MIT Takeda Fellows
The program encourages the advancement and application of AI capabilities for the betterment of human health and drug development.
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(L) Vivek Gopalakrishnan (R) Priyanka Raghavan /
The School of Engineering at the Massachusetts Institute of Technology has named two Indian-Americans, Vivek Gopalakrishnan and Priyanka Raghavan as Takeda fellows for the 2023-24 school year.
With support from Takeda Pharmaceutical Company, the graduate students will conduct path-breaking research ranging from remote health monitoring for virtual clinical trials to ingestible devices for at-home, long-term diagnostics, according to a release by MIT.
Vivek Gopalakrishnan is a PhD candidate in the Harvard-MIT Program in Health Sciences and Technology. His goal is to develop biomedical machine-learning methods to improve the study and treatment of human disease. Specifically, he employs computational modeling to advance new approaches for minimally invasive, image-guided neurosurgery, offering a safe alternative to open-brain and spinal procedures.
Gopalakrishnan, with the help of a Takeda Fellowship, will create real-time computer vision algorithms that provide high-quality, 3D intraoperative image guidance through the extraction and fusion of multiple images.
Priyanka Raghavan is a PhD candidate in the department of chemical engineering. Her work combines computational and experimental methods to create robust new predictive tools for vital socially-relevant applications like drug discovery. She is developing novel models to predict small-molecule substrate reactivity and compatibility in regimes where little data is available.
Through the fellowship, she will make innovative use of low-data and multi-task machine learning approaches, synthetic chemistry, and robotic laboratory automation, with the goal of creating an autonomous, closed-loop system for the discovery of high-yielding organic small molecules in the context of underexplored reactions.
The MIT-Takeda Program, a joint initiative between the School of Engineering and Takeda, is now in its fourth year of encouraging the advancement and application of AI capabilities for the betterment of human health and drug development.
Part of the Abdul Latif Jameel Clinic for Machine Learning in health, the program coalesces disparate disciplines, merges theory and practical implementation, combines algorithm and hardware innovations, and creates multidimensional collaborations between academia and industry.
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