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About Me

HI! I am Himanshu, a pre-doctoral research assistant at the Trivedi School of Biosciences, working under the guidance of Dr. Pratyush Pranav. My research focuses on the application of topological data analysis, particularly persistent homology, in conjunction with machine learning techniques to investigate complex systems across various domains.

My academic interests are centered on understanding the underlying structures and dynamics of complex systems, with a particular emphasis on biological systems through algebraic and computational perspectives. This toolkit of a computational topology with ML allows me to explore diverse fields, including astrophysics, neural dynamics, and mechanistic interpritability.

Previously, I have contributed to projects aimed at enhancing data privacy and security, such as developing end-to-end encryption protocols for secure communication and implementing privacy frameworks for data protection. I have also worked on tools for Fully Homomorphic Encryption (FHE), with a focus on their application in the healthcare sector.

Beyond my research, I have a keen interest in behavioral sciences, especially in understanding how early-life environments influence memory and decision-making processes. I am also intrigued by the role of social media in shaping public opinion and political discourse.

In my leisure time, I enjoy reading manga, binging sports highlights and TV shows at 1.5x or talking about impending climate doom.

Feel free to reach out to me at my email if you are interested in discussing topics related to my research or potential collaborations.