Rohan Pandey

PhD Student · ML & NLP for Science & Healthcare · UMass Amherst

I'm a fourth-year PhD student in the Bio-NLP Lab at UMass Amherst, advised by Hong Yu. In a previous life, I helped develop pre-ChatGPT-era AI platforms for spend analytics at McKinsey (Source AI and Spendscape).

I work on understanding and building AI that holds up when it meets the real world—especially in science and healthcare.

I spend most of my time thinking about:

AI for science: how AI can be genuinely useful to scientists, for example helping them find the lesser-known prior work that sparks new ideas (MUSES), and what widespread AI use means for how science is done, validated, and communicated.
AI for healthcare: using AI to tackle important public-health challenges, like homelessness and opioid overdose, and understanding what it takes to make AI work in real-world healthcare settings, from messy electronic health records (EHRs) to clinical workflows.
Science of AI: understanding what makes AI systems, especially large language models (LLMs), work (or fail), and how we can make them better.

I'm looking for research scientist internships for Summer 2027, especially in LLMs, AI for science, or healthcare. I'm always open to interesting research conversations and collaborations, and I enjoy mentoring students and early-career professionals navigating their academic and career paths. I've been fortunate to receive a lot of support and guidance along the way, and I hope to pay that forward. If you'd like to collaborate, seek advice, or simply connect, feel free to reach out!

Publications

OverdoseMoE: A Multi-Expert Framework for Opioid Overdose Risk Prediction

Mingchen Li, Rohan Pandey, Junhui Qian, Feiyun Ouyang, Sunjae Kwon, Hong Yu

arXiv preprint, 2026 Under review·arXiv·PDF·

@misc{li2026overdosemoe,
  title         = {OverdoseMoE: A Multi-Expert Framework for Opioid Overdose Risk Prediction},
  author        = {Li, Mingchen and Pandey, Rohan and Qian, Junhui and Ouyang, Feiyun and Kwon, Sunjae and Yu, Hong},
  year          = {2026},
  eprint        = {2609.40108},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CL},
  url           = {https://arxiv.org/abs/2609.40108}
}

MUSES: A Benchmark for Prospective Intellectual-Roots Retrieval

Rohan Pandey, Sunjae Kwon, Hong Yu

arXiv preprint, 2026 Under review·arXiv·PDF·

@misc{pandey2026muses,
  title         = {MUSES: A Benchmark for Prospective Intellectual-Roots Retrieval},
  author        = {Pandey, Rohan and Kwon, Sunjae and Yu, Hong},
  year          = {2026},
  eprint        = {2609.00313},
  archivePrefix = {arXiv},
  primaryClass  = {cs.IR},
  url           = {https://arxiv.org/abs/2609.00313}
}

Predicting first-episode homelessness among US Veterans using longitudinal EHR data: time-varying models and social risk factors

Rohan Pandey*, Haijuan Yan, Hong Yu, Jack Tsai

arXiv preprint, 2026 Under review·arXiv·PDF·

@misc{pandey2026homelessness,
  title         = {Predicting first-episode homelessness among US Veterans using longitudinal EHR data: time-varying models and social risk factors},
  author        = {Pandey, Rohan and Yan, Haijuan and Yu, Hong and Tsai, Jack},
  year          = {2026},
  eprint        = {2602.02731},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CL},
  url           = {https://arxiv.org/abs/2602.02731}
}

A machine learning application for raising WASH awareness in the times of COVID-19 pandemic

Rohan Pandey*, Vaibhav Gautam, Ridam Pal, Harsh Bandhey, Tavpritesh Sethi

Nature Scientific Reports, 2022·Paper·Code·

@article{pandey2022wash,
  title     = {A machine learning application for raising WASH awareness in the times of COVID-19 pandemic},
  author    = {Pandey, Rohan and Gautam, Vaibhav and Pal, Ridam and Bandhey, Harsh and Dhingra, Lovedeep Singh and Misra, Vihaan and Sharma, Himanshu and Jain, Chirag and Bhagat, Kanav and Arushi and Patel, Lajjaben and Agarwal, Mudit and Agrawal, Samprati and Jalan, Rishabh and Wadhwa, Akshat and Garg, Ayush and Agrawal, Yashwin and Rana, Bhavika and Kumaraguru, Ponnurangam and Sethi, Tavpritesh},
  journal   = {Scientific Reports},
  volume    = {12},
  number    = {1},
  year      = {2022},
  publisher = {Springer Science and Business Media LLC},
  doi       = {10.1038/s41598-021-03869-6}
}

COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis

Asmit Kumar Singh*, Paras Mehan*, Divyanshu Sharma*, Rohan Pandey*, Tavpritesh Sethi, Ponnurangam Kumaraguru

JMIR Public Health and Surveillance, 2022·Paper·

@article{singh2022mask,
  title     = {COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis},
  author    = {Singh, Asmit Kumar and Mehan, Paras and Sharma, Divyanshu and Pandey, Rohan and Sethi, Tavpritesh and Kumaraguru, Ponnurangam},
  journal   = {JMIR Public Health and Surveillance},
  volume    = {8},
  number    = {1},
  pages     = {e26868},
  year      = {2022},
  publisher = {JMIR Publications Inc.},
  doi       = {10.2196/26868}
}

COVIDScreen: Explainable deep learning framework for differential diagnosis of COVID-19 using chest X-Rays

Rajeev Kumar Singh*, Rohan Pandey*, Rishie Nandhan Babu*

Neural Computing and Applications, 2021·Paper·

@article{singh2021covidscreen,
  title     = {COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays},
  author    = {Singh, Rajeev Kumar and Pandey, Rohan and Babu, Rishie Nandhan},
  journal   = {Neural Computing and Applications},
  volume    = {33},
  number    = {14},
  pages     = {8871--8892},
  year      = {2021},
  publisher = {Springer Science and Business Media LLC},
  doi       = {10.1007/s00521-020-05636-6}
}

Cervical Cancer Diagnosis using CervixNet — A Deep Learning Approach

Rohan Gorantla*, Rajeev Kumar Singh*, Rohan Pandey*, Mayank Jain*

IEEE BIBE (Bioinformatics and Bioengineering), 2019·Paper·

@inproceedings{gorantla2019cervixnet,
  title     = {Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach},
  author    = {Gorantla, Rohan and Singh, Rajeev Kumar and Pandey, Rohan and Jain, Mayank},
  booktitle = {2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)},
  pages     = {397--404},
  year      = {2019},
  publisher = {IEEE},
  doi       = {10.1109/BIBE.2019.00078}
}

Experience

2023 — Present

University of Massachusetts Amherst
Research Assistant · Aug 2023 – Present
2021 — 2023

McKinsey & Company
Product Owner · Jun 2022 – Jul 2023

Junior Engineer · Jan 2021 – May 2022
2020 — 2022

HITI Lab, Emory University
Machine Learning Research Intern · Sep 2020 – Jul 2022
2019 — 2020

TavLab, IIITD
Machine Learning Research Intern · May 2019 – Oct 2020
2018 — 2021

Shiv Nadar University
Undergraduate Researcher · Oct 2018 – Jul 2021

B.Tech, Computer Science & Engineering · High Distinction