CV

Education

• Ph.D in Computer Science, The University of Texas at Dallas, (Ongoing)
• M.S. in Computer Science, The University of Texas at Dallas, 2025
• B.S. in Computer Science, The University of Texas at Dallas, 2021

Work experience

• Fall 2023 - Present: Research Assistant
  • The University of Texas at Dallas
  • Supervisor: Dr. Sriraam Natarajan
• Fall 2021 - Spring 2023: Teaching Assistant
  • The University of Texas at Dallas
  • Subject: Digital Logic
• Summer 2018 - Summer 2021: CS Intern
  • Fintricks Consultancy Services, New Delhi, India
  • Duties: Statistical Modelling for Mutual Fund Policies
• Fall 2018 - Spring 2020: Student Worker
  • The University of Texas at Dallas

Skills

• Programming Languages
  • Python
  • Java
  • C/C++
• ML/AI Frameworks & Libraries
  • PyTorch
  • Scikit-learn
  • Hugging Face Transformers
  • vLLM
• Reinforcement Learning Tools
  • Ray RLlib
  • OpenAI Gymnasium
• AI Research Specializations
  • Causal Inference & Bayesian Networks
  • Multi-Agent Reinforcement Learning
  • Relational Planning & Symbolic AI
  • LLM Integration & Evaluation
  • Clinical AI & Healthcare ML
• Data Engineering
  • Pandas / NumPy
  • SQL
• Research & Academic Tools
  • LaTeX / Overleaf
  • Jupyter Notebooks
  • Git / GitHub

Publications

EHR Sampling Interval Bias Detection and Burden of Blood Pressure Excursions: Implications for Clinical Decision Support and Model Validity in Pediatric ECMO

Shah, Neel, Ethan Sanford, David R. Busch, Ranveer Singh, Saurabh Mathur, Jayesh Sharma, Philip Reeder, Sriraam Natarajan, and Lakshmi Raman. 2026. "EHR Sampling Interval Bias Detection and Burden of Blood Pressure Excursions: Implications for Clinical Decision Support and Model Validity in Pediatric ECMO" Information 17, no. 2: 135. https://doi.org/10.3390/info17020135

LLMs for Causal Reasoning in Medicine? A Call for Caution

Mathur, Saurabh, Ranveer Singh, Michael Skinner, Predrag Radivojac, David M. Haas, Lakshmi Raman, and Sriraam Natarajan. "LLMs for Causal Reasoning in Medicine? A Call for Caution." In IJCAI 2025 Workshop on User-Aligned Assessment of Adaptive AI Systems.

LLM-Guided Causal Bayesian Network Construction for Pediatric Patients on ECMO

Mathur, S. et al. (2025). LLM-Guided Causal Bayesian Network Construction for Pediatric Patients on ECMO. In: Bellazzi, R., Juarez Herrero, J.M., Sacchi, L., Zupan, B. (eds) Artificial Intelligence in Medicine. AIME 2025. Lecture Notes in Computer Science(), vol 15735. Springer, Cham. https://doi.org/10.1007/978-3-031-95841-0_48

Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains

Nikhilesh Prabhakar, Ranveer Singh, Harsha Kokel, Sriraam Natarajan, and Prasad Tadepalli. 2025. Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains. In Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS '25). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1708–1717.

Exploiting Relational Planning and Task-Specific Abstractions for Multiagent Reinforcement Learning in Relational Domains

Singh, Ranveer, Nikhilesh Prabhakar, Sriraam Natarajan, and Prasad Tadepalli. "Exploiting Relational Planning and Task-Specific Abstractions for Multiagent Reinforcement Learning in Relational Domains." (2024).