Sr. Machine Learning Scientist, Insitro (starting December 2021)
PhD, Electrical & Computer Engineering, University of Washington (2018).
MS, Electrical Engineering, RPI (2013).
BE, Power Engineering, Jadavpur University (2011).
Email: email@example.com (preferred) / firstname.lastname@example.org
Resume Research Statement Google Scholar
I am currently a Senior Machine Learning Scientist in the Statistical Genetics team of Insitro. Prior to this, I was a Senior Data & Applied Scientist in Microsoft's AI for Good research lab where I worked on using AI to solve important social problems related to healthcare. Prior to that I was a Research Scientist in the 'Neurodenerative Research' division of Sage Bionetworks. My research at Sage focused on developing Machine Learning algorithms to aid the study of Alzheimer's and other Neurodegenerative disorders.
I completed my PhD in Computational and Systems Biology under the guidance of Dr. Georg Seelig and Dr. Sreeram Kannan. My dissertation title was "Learning and Inference with Single Cell Data". I collaborated closely with Dr. Su-in Lee (UW CSE & Genome Sciences) and Dr. Abhyudai Singh (UDel ECE/Math) for a couple of my computational projects. I have also worked on the development a pedestrian centered routing app (Accessmap) with Dr. Anat Caspi of the UW e-Science Institute.
Prior to joining UW, I was a MS-PhD student in Electrical Engineering at Rensselaer Polytechnic Institute from 2011-2013 under the guidance of Dr. Sandipan Mishra and Dr. John Wen. My thesis research loosely dealt with finding ways to minimize the energy consumption in building HVAC systems while accounting for the comfort requirements of the occupants. Prior to that, I had got my undergrad degree in Power Engineering from Jadavpur University, India in 2011.
Current Research Interests
Privacy preserving machine learning for healthcare
AI for public health
Multi-modal modeling for healthcare