Research

Publications

I've been lucky to work with research groups at CMU, UPenn, UNSW and IIT Guwahati on problems spanning structural biology, NLP and LLMs.

DUIL model architecture
NeurIPS 2026 · Poster

DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification

Carnegie Mellon University · Advisor: Prof. Min Xu

  • Designed and trained an unsupervised autoencoder with a custom Multi-Choice Learning module that disentangles pose and semantic embeddings of protein structures.
  • Outperforms RELION by 40% ARI on low-SNR Cryo-ET data.
  • Identified a previously unresolved ATP synthase structure in the thylakoid membrane of yeast using this method.
Paper
TempTabQA dataset domains and results
EMNLP 2023 · Main

TempTabQA: Temporal Question Answering for Semi-Structured Tables

University of Pennsylvania · Advisors: Prof. Vivek Gupta & Prof. Vivek Srikumar

  • Co-authored an 11,545-pair QA dataset spanning 1,208 Wikipedia infobox tables across 90+ domains.
  • Exposed a 13.5+ F1-point temporal-reasoning gap between top LLMs and human performance.
Paper
Sentiment analysis pipeline
BDCC 2026 · Preprint

Large Language Models for Bible Sentiment Analysis: Sermon on the Mount

University of New South Wales · Advisor: Prof. Rohitash Chandra

  • Applied S-BERT embeddings and the AFINN lexicon to quantify sentiment variance across 5 Bible translations.
  • Analysed verse-by-verse polarity scores to draw historical inferences.
Paper
AmalREC 5-stage pipeline
Preprint

AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of LLMs

IIT Guwahati · Advisor: Prof. Ashish Anand

  • Designed a 5-stage pipeline for relation extraction and classification data generation.
  • Released a dataset spanning 255 relation types with ~200k sentences.
Paper