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
January 2025: Submitted Hallucination Detection-Guided Preference Optimization for Clinical Summarization to ACL ARR 2026.
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
Hallucination Detection-Guided Preference Optimization for Clinical Summarization
S.K. Seethakantha, D.N. Thai, S. Tiwari, V.P. Gudi, R. Matar, W. Zhao, A. Mitra, W. Salloum, A. McCallum
Submitted to ACL ARR 2026
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)