- Medical Student (MS-4)
I was born and raised in India. I majored in Computer Engineering at the University of Delhi. During my time at college, I developed an interest in machine learning and artificial intelligence, and got involved with some projects to learn the basics and applications of various neural network models. After graduation, I decided to switch to medicine, and completed a year of Post Baccalaureate Pre-Medical Program at Johns Hopkins University where I got an opportunity to get involved with some interesting projects investigating various machine learning algorithms in prognostication of comatose patients admitted to the neuro critical care unit. These projects were intellectually stimulating and further catalyzed my enthusiasm in this domain. I am now a rising fourth year medical student at University of Pittsburgh School of Medicine interested in pursuing a career in ophthalmology with the aspirations of exploring machine learning and AI in augmenting clinical practice.
- Motor Output Classification in the ICU using a wearable sensor array. PI: Dr Robert D. Stevens, Johns Hopkins Medical Institution. Presented posters at JHU DREAMS 2018 and JHH Neurosurgery and Neurology Research Retreat 2018 (Won 3rd place in poster competition)
- Deep Learning to decode cognitive states using fMRI Brain images, Senior thesis. PI : Prof. MPS Bhatia, NSIT, University of Delhi, 2016.
- A.Gupta, H.K. Thakur, T. Gupta, S. Yadav. Regular Pattern Mining(with jitter) on Weighted-Directed Dynamic Graphs. Journal of Engineering Science and Technology, 12(2), pages 349-364, 2017.
- Medical Imaging
- Machine Learning
- Pattern Recognition
- Precision Medicine