Giridhar Kaushik Ramachandran
Giridhar received his Ph.D. in Information Science and Technology from George Mason University (GMU), with a focus on natural language processing (NLP) and machine learning (ML) for clinical text. They are also an affiliate with the University of Washington, collaborating on various NLP and ML projects for healthcare applications.
With over nine years of diverse industry and academic experience, Giridhar has worked as a data scientist in the fields of finance, workforce management, cybersecurity, and social media. They have also published multiple papers in prestigious conferences and journals, such as ICML, ACL, LREC, and IEEE Computer Society, demonstrating their research excellence and innovation. Giridhar's research aims to leverage artificial intelligence to advance state-of-the-art healthcare informatics and improve patient outcomes.
Sep 2024 -
Senior Data Scientist at Novartis Institutes for Biomedical Research, Cambridge, MA.
Working on early target identification and validation, building ML models for single-cell RNA data, and developing LLM-based systems for scientific and clinical data extraction.
Aug 2020 - May 2024
Graduate Research Assistant at George Mason University. Led projects on NLP applied to clinical text, mental health, and social media under Dr. Özlem Uzuner. Mentored other graduate students in their research.
Jun 2021 - Aug 2021
Computational Research Intern at Sumitovant Biopharma, New York. Built systems for extracting PICO elements from clinical trial literature and performed entity normalization using state-of-the-art language models.
Jan 2018 - Aug 2020
Graduate Research Assistant - Cybersecurity at CSIS, George Mason University. Worked on cyberdeception and vulnerability management research, publishing in reputed journals in Cybersecurity and AI.
Jul 2016 - Dec 2017
Junior Data Scientist at Cognizant Technology Services, Chennai, India. Worked on workforce analytics including attrition prediction and skills management. Saved ~30% of hiring budget through ML-based insights.
Oct 2014 - Jul 2016
Assistant Manager - Finance at Sundaram Finance, Chennai, India. Worked on credit risk, market risk, and business risk estimation. Boosted revenue by ~14% through analytical ML-based asset understanding.
Jan 2018 - May 2024
PhD in Information Science and Technology at George Mason University. Focus on NLP, non-linear optimization, deep learning, and reinforcement learning. GPA: 3.82/4.00
Jan 2018 - May 2021
Masters in Operations Research at George Mason University. Applied statistics, probability, simulation, and systems engineering. GPA: 3.81/4.00
Jun 2012 - May 2014
MBA at Sri Sathya Sai Institute of Higher Learning, India. Statistics, project finance, risk management, and marketing.
Jun 2009 - May 2012
BSc Honors in Mathematics at Sri Sathya Sai Institute of Higher Learning, India. Algorithms, graph theory, calculus, linear algebra.
Publications
2025
- YV Fu, GK Ramachandran, N Park, K Lybarger, F Xia, O Uzuner, et al. Biomistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning. AMIA Summits on Translational Science Proceedings.
- H Gangavarapu, GK Ramachandran, K Lybarger, M Yetisgen, Ö Uzuner. Adapting Biomedical Abstracts into Plain Language Using Large Language Models. arXiv preprint.
- N Park, GK Ramachandran, K Lybarger, F Xia, O Uzuner, M Yetisgen, et al. Identifying Imaging Follow-Up in Radiology Reports. arXiv preprint.
2024
- Y Fu, GK Ramachandran, NJ Dobbins, N Park, M Leu, AR Rosenberg, et al. Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models. LREC-COLING 2024.
- N Park, K Lybarger, GK Ramachandran, S Lewis, A Damani, O Uzuner, et al. A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models. LREC-COLING 2024.
- YV Fu, GK Ramachandran, A Halwani, BT McInnes, F Xia, K Lybarger, et al. CACER: Clinical Concept Annotations for Cancer Events and Relations. Journal of the American Medical Informatics Association.
- GK Ramachandran. Extracting Clinically Relevant Information From Text Using Pre-Trained Language Models. PhD Dissertation, George Mason University.
2023
- GK Ramachandran, Y Fu, B Han, K Lybarger, NJ Dobbins, Ö Uzuner, et al. Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. ACL Clinical NLP Workshop.
- GK Ramachandran, H Gangavarapu, K Lybarger, O Uzuner. MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims. SemEval 2023.
2022
- GK Ramachandran, K Lybarger, Y Liu, D Mahajan, JJ Liang, CH Tsou, et al. Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models. Journal of Biomedical Informatics.
2021
- D Li, J Liu, D Lee, A Seyedmazloom, G Kaushik Ramachandran, K Lee, et al. A Novel Method to Solve Neural Knapsack Problems. International Conference on Machine Learning (ICML).
2020
- Y Xiong, GK Ramachandran, R Ganesan, S Jajodia, VS Subrahmanian. Generating Realistic Fake Equations in Order to Reduce Intellectual Property Theft. IEEE Transactions on Dependable and Secure Computing.