About Me

I am a Ph.D. candidate working in Theoretical Biophysics and Computational Biology at Purdue University. I have extensive experience in programming using Python, C++, and MATLAB to understand real-world phenomena. Throughout my Ph.D. I have collaborated with experimentalists and learned how diverse ideas can help make a project successful.  My graduate training has helped me gain invaluable qualities of persistence, tenacity, working on years-long projects, debugging problems independently, and conveying my research to a broader audience. 

I was also a member of the organizing team for Purdue's 2019 Hitchhiker’s Guide to the Biomolecular Galaxy Symposium, and the grand success of this event made me truly appreciate the importance of teamwork and effective communication.

I am currently a part of the Machine Learning team at Purdue Data Mine - Merck RFID project and also a member of Merck's Computer Vision Project. 

Prior to coming to the US for my Ph.D. program, I completed my M.Sc. and B.Sc. in Physics at the Indian Institute of Technology, Madras (IIT-M) and Chennai Mathematical Institute (CMI) in India. 

Outside of my research in computational biology and data science, I enjoy cooking, painting, traveling (especially visiting the National Parks) and spending time with family. 

I am looking for full-time opportunities in the field of data science, machine learning, computational biology or scientific computing. 

LinkedIn, GitHub, Google Scholar, pymetrics assessment 

If you want to reach out to me or have any questions, email at - soutick2010@gmail.com  or saha21@purdue.edu