I’m a probabalistic machine learning researcher and aspiring data scientist in the fields of biology and medicine. My motivation is to leverage both deterministic and probabilistic methods to better understand the human body and develop treatments for diseases and illnesses that are as of yet untreatable. I am also passionate about the intersection of neuroscience, computer vision and robotics and actively read the latest developments pertaining to our understanding of sight. I am currently a Master’s student at the University of Michigan studying Computer Science & Engineering, though my background is far from limited to this domain. I was previously a student at Boston University, where I studied at the Kilachand Honors College and the College of Arts & Sciences and graduated with a degree in Neuroscience. I additionally minored in computer science and concentrated in mathematics. When not in class, I actively participated in research, spending time at both the Laboratory of Neural Development & Intellectual Disorders and the Laboratory of Computational Neurophysiology. At the latter, I completed my Honors Thesis in Neuroscience entitled ‘A Systems-Level Model of Spatial Navigation and Memory.’ This work is currently under review for publication. Moreover, I also was a member of the Hindu Students Council chapter at Boston University (BUHSC), serving on the executive board for three years and as President for one. This summer, I am working as an intern and research assistant under the Bliss program in association with the Probabilistic Machine Learning group at the University of Michigan, where we are working towards the task of developing an amortized variational inference method for the task of analyzing large-field astronomical images and an associated Python package. In my personal time, I enjoy music, exercising, cooking, hiking and spending time with my family. I am also a contributor to Alien Daydreams, an artistic collective based in Denver, CO - check it out! Resume