Vipul Gupta
Ph.D. Student in NLP lab at Pennsylvania State University
NLP Research Scientist Summer Internship at Kitware | 2023
Former Research Intern at John Hopkins University | 2021
Former Research Assistant at University of British Columbia | 2021
Indian Institute of Technology(IIT) Delhi - B.Tech in Mathematics and Computing | 2018
I am currently a PhD Student working on bias, fairness and evalution of language models in the NLP lab under Prof. Rebecca Jane Passonneau at Penn State.
I spent 3 wonderful months during Summer 2023 at Kitware contributing to the In The Moment project funded by DARPA, as a NLP Research Scientist Intern. I focused on application of large language models in critical scenarios such as medical triage by improving their robustness and reliability.
Prior to starting my PhD, I did a Research Internship under Bloomberg Distinguished Professor Alan Yuille at John Hopkins University. During this time, I worked on robustness in vision and language models. I have also done a Research Assistantship at University of British Columbia under Professor Apurva Narayan. During this time, I worked on adversarial training in computer vision.
My academic journey began with a Bachelor's degree in Mathematics and Computing from IIT Delhi, India. After completing my bachelors, I have gained 2 and a half years of industry experience in Applied AI at HyperVerge, an innovative Fintech and Geospatial startup in India. During this time I worked on various projects on face recognition, face deduplication, OCR, forgery detection and object detection.
My research interests include trustworthy machine learning, robustness, fairness, model evaluation and neuroscience.
Prior to starting my PhD, I did a Research Internship under Bloomberg Distinguished Professor Alan Yuille at John Hopkins University. During this time, I worked on robustness in vision and language models. I have also done a Research Assistantship at University of British Columbia under Professor Apurva Narayan. During this time, I worked on adversarial training in computer vision.
My academic journey began with a Bachelor's degree in Mathematics and Computing from IIT Delhi, India. After completing my bachelors, I have gained 2 and a half years of industry experience in Applied AI at HyperVerge, an innovative Fintech and Geospatial startup in India. During this time I worked on various projects on face recognition, face deduplication, OCR, forgery detection and object detection.
My research interests include trustworthy machine learning, robustness, fairness, model evaluation and neuroscience.