Nishanth Parameshwar Pavinkurve

BioRelated/Noteworthy Publications
Nishanth Parameshwar Pavinkurve

Nishanth Parameshwar Pavinkurve
Clinical Research Software Developer
Columbia University Department of Biomedical Informatics

Nishanth Parameshwar Pavinkurve is a Clinical Research Software Developer at the Department of Biomedical Informatics working with Dr. Karthik Natarajan. While working full-time, Nishanth is also pursuing an MBA at Columbia Business School.

Nishanth’s research focuses on applications of Artificial Intelligence (AI) to aid in medical research and clinical decision-making. His primary focus is applying various Natural Language Processing (NLP) techniques from Topic Modeling to Generative Pre-Trained Transformers (GPT) to analyze Clinical Notes and extract medically relevant information at scale.

He is involved in several software architecture and research projects at the National Institutes of Health (NIH) sponsored All of Us Research Program, the National COVID Cohort Collaborative (N3C) and in-house at Columbia University Irving Medical Center and New York-Presbyterian Hospital. He is also an active participant in the OHDSI NLP working group.

Nishanth graduated with his Master of Science in Computer Science at New York University (NYU) where he focused on Machine Learning and Artificial Intelligence. He completed his Bachelor and Master of Technology degrees in Electrical Engineering from Indian Institute of Technology (IIT) Madras.

Pavinkurve NP, Natarajan K, Perotte AJ. Deep Vision: Learning to Identify Renal Disease With Neural Networks. Kidney Int Rep. 2019 May 7;4(7):914-916. doi: 10.1016/j.ekir.2019.04.023. PMID: 31317112; PMCID: PMC6612041.

Engel N, Wang H, Jiang X, Lau CY, Patterson J, Acharya N, Beaton M, Sulieman L, Pavinkurve N, Natarajan K. EHR Data Quality Assessment Tools and Issue Reporting Workflows for the ‘All of Us’ Research Program Clinical Data Research Network. AMIA Annu Symp Proc. 2022 May 23;2022:186-195. PMID: 35854725; PMCID: PMC9285158.

Pavinkurve N, Beaton M, Xu H, Natarajan K. Preliminary Analysis of Self-Reported COVID-19 Vaccination Side Effects on Twitter. OHDSI Symposium 2022