Shamanth Kuthpadi S.
skuthpadi[at]umass[dot]edu
Shamanth, Kuthpadi, Seethakantha, data science, real-time inference, causal inference, machine learning, academic porfolio, CV
About Me
I am a computer science graduate student at the Manning College of Information and Computer Sciences in UMass Amherst. I am fortunate enough to be advised by Prof. Deepak Ganesan.
My research interests lie in developing end-to-end machine learning pipelines that can be leveraged for impactful advancements in healthcare. The hope is that by doing so, I can help optimize healthcare outcomes and ultimately compute for the common good. I also have a keen interest in designing these ML pipelines in an explainable and interpretable way (whenever possible).
I am also a part-time research intern under the supervision of Dr. Daniel D. Corkill at IOMICS Corporation, where I focus on building automated casual discovery/estimation pipelines and researching Kolmogorov-Arnold Networks (KANs) for their applicability in the unsupervised and supervised domains.
News
November 2025: Admitted to UMass Amherst to pursue a PhD in Computer Science under the supervision of Dr. Deepak Ganesan. I would like to firstly thank my parents for supporting me through this journey and I would also like to thank Prof. Ganesan for taking a chance on me. Special thanks to Dr. Daniel D. Corkill and Prof. Cameron Musco for their supervision through the procedure as well.
August 2025: Finally “finished” creating my personal website.
February 2025: Working under the supervision of Prof. Deepak Ganesan and with Wireless and Sensor Systems Lab to create a multi-modal system for real-time 3D facial animation from physiological signals.
January 2025: Working with Mendel.ai to mitigate hallucinations in clinical summarization using synthetic data generation and preference tuning.
January 2025: Starting my Master’s in Computer Science at the University of Massachusetts Amherst
December 2024: Graduated with a Bachelor’s degree in Computer Science from the University of Massachusetts Amherst
September 2024: Began my Independent Study in modeling and analyzing structural brain connectomes under the supervision of Cameron Musco
June 2024: Started working as a Machine Learning Research Intern at IOMICS Corporation
September 2021: Started my undergraduate degree in Computer Science at the University of Massachusetts Amherst
Selected Publications & Current Research
VYRE: Low-burden and Robust Oscillometric-based Ring-worn System for Continuous Blood Pressure Monitoring
Amirmohammad Radmehr, Shamanth Kuthpadi Seethakantha, Abdul Aziz, Quang Trung Tran, Aryan Nair, William Saulnier, Deepak Ganesan, VP Nguyen Submitted to SenSys26
A Smart Electrode-Integrated Cooling Patch for Motion-Robust ECG Monitoring and Real-Time 3D Facial Animation
T. Q. Trung, S. K. Seethakantha, Z. Lei, A. Radmehr, P. Nguyen, D. Ganesan
Submitted to Nature Communications
Artificial Intelligence and Discovery Automation: Path to Democratizing Science
J. Gormley, D. Corkill, E. Hinderer, S. K. Seethakantha, T. Zisk
Submitted to International Conference on Systems Biology (ICSB)
Assess-and-Evolve: Scalable Generation of Preference Tuning Data for Alleviating Hallucinations in Medical Summaries
S. K. Seethakantha, D. Thai, S. Tiwari, V. P. Gudi, S. Mohan, S. Sairaj, W. Zhao, A. Mitra, A. McCallum
Almost finished, to be submitted to ACL