Rohan Pandey

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.

Before embarking on my PhD journey, I most recently spent 2.5 years at McKinsey & Company, where I was most recently leading the development of AI-powered spend analytics within digital procurement as a product owner. I completed my undergraduate studies in Computer Science & Engineering from Shiv Nadar University, India, graduating with High Distinction. I have also spent time conducting research at HITI Lab, Emory University and TavLab, IIITD.

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.

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Publications
A machine learning application for raising wash awareness in the times of covid-19 pandemic
Nature, Scientific Reports, 2022  
Rohan Pandey*, Vaibhav Gautam, Ridam Pal, Harsh Bandhey, Lovedeep Singh Dhingra, Himanshu Sharma, Chirag Jain, Kanav Bhagat, Lajjaben Patel, Mudit Agarwal, Samprati Agrawal, Rishabh Jalan, Akshat Wadhwa, Ayush Garg, Vihaan Misra, Yashwin Agrawal, Bhavika Rana, Ponnurangam Kumaraguru, Tavpritesh Sethi
COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis
JMIR Public Health and Surveillance, 2022  
Asmit Kumar Singh*, Paras Mehan*, Divyanshu Sharma*, Rohan Pandey*, Tavpritesh Sethi, Ponnurangam Kumaraguru
COVIDScreen: Explainable deep learning framework for differential diagnosis of COVID-19 using chest X-Rays
Neural Computing and Applications, 2021  
Rajeev Kumar Singh*, Rohan Pandey*, Rishie Nandhan Babu*
Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach
BIBE (Bioinformatics and Bioengineering), 2019  
Rohan Gorantla*, Rajeev Kumar Singh*, Rohan Pandey*, Mayank Jain*

Experience

McKinsey & Company

Product Owner | June 2022 - Present
Junior Engineer | January 2021 - May 2022

HITI Lab, Emory University

Machine Learning Research Intern | September 2020 - July 2022

TavLab, IIITD

Machine Learning Research Intern | May 2019 - October 2020

Shiv Nadar University

Undergraduate Researcher | October 2018 - July 2021