Medha Sawhney

Computer Science Ph.D. Student at Virginia Tech


Greetings! I am a PhD student in the Computer Science department at Virginia Tech under the guidance of my advisor Dr. Anuj Karpatne.

Prior to joining the PhD program, I completed my Master’s here at VT, during which I had the privilege of interning at Twitter as an MLE Intern. My academic journey began with a Bachelor’s in Electronics and Communication Engineering from Manipal Institute of Technology, MAHE, Manipal, India. Before pursuing my Master’s, I gained invaluable industry experience as a full-time ML engineer at HP, Bangalore.

I work at the Science Guided Machine Learning Lab at Virginia Tech where my research is at the intersection of machine learning and established scientific principles. My current work involves investigating cell behaviors and bacteria motility behaviors, employing biological formulations, machine learning, and computer vision techniques with the broader aim of advancing scientific discovery.

This academic website serves as a window into my research journey and findings and I’m eager to connect with like-minded individuals. Please feel free to drop me an email!


Feb 16, 2024 :sparkles: I’ll be delivering a lightning talk at the Imageomics workshop, AAAI’24 Conference in Vancouver, Canada!
Jan 17, 2024 :sparkles: Our paper MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments was accepted to Advanced Intelligent Systems! [paper] [code]
Oct 18, 2023 :scroll: New preprint available “MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments.” [preprint] [code]
May 20, 2023 :scroll: Excited to have received the opportunity to present my work on Bacteria Tracking at CVPR 2023 as part of the CV4Animals Workshop! :smile: [poster] [workshop website]
Apr 6, 2023 :woman_student: Embarked on a Ph.D. Journey at Virginia Tech!
Oct 25, 2022 :scroll: New preprint available “Deep Learning Enabled Label-free Cell Force Computation in Deformable Fibrous Environments.” [preprint]
Jun 21, 2022 :sparkles: Interning at Twitter as a Machine Learning Engineering Intern this Summer!
Jun 6, 2022 :trophy: Honored to be the recipient of the Grace Hopper Celebration (GHC) 2022 Student Scholarship awarded by CS@VT and!
Aug 21, 2021 :books: Joined the MS in Computer Science Program at Virginia Tech