Rohan Pandey

PhD Student · Bio-NLP Lab, UMass Amherst

Previously: McKinsey & Company · HITI Lab, Emory · TavLab, IIITD

I am a PhD student at the Bio-NLP lab at the Manning College of Information & Computer Sciences at UMass, Amherst fortunate to be advised by Hong Yu. My current research interests have a strong focus on making machine learning systems more robust and reliable for real-world applications, particularly in healthcare. My research aims to bridge the gap between theoretical models and practical, deployable solutions in medical contexts.

I am passionate about mentoring young professionals and students, helping them navigate their academic and career paths. If you're interested in collaborating or seeking guidance, feel free to reach out. My journey has been shaped by the generosity and support of others, and I am committed to paying it forward.

Publications

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

Manuscript, 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