Aneesh Komanduri, Ph.D.

About

I am a Postdoctoral Research Scientist in the Language, Reasoning, and Knowledge (LARK) lab at the University of Colorado Anschutz School of Medicine. My current research spans large language model reasoning, uncertainty quantification, clinical NLP, and AI for Healthcare. Previously, I earned my Ph.D. in Computer Science from the Department of Electrical Engineering & Computer Science at the University of Arkansas in May 2026, advised by Dr. Xintao Wu. Specifically, my research mainly focused on causal representation learning, counterfactual generative modeling, and causal reasoning in large-scale generative models. I obtained my Master's degree in Computer Science and Bachelor's degrees in Computer Science, Computer Engineering, and Applied Mathematics at the University of Arkansas, where I graduated Summa Cum Laude.

If you are interested in causality, generative AI, applications in healthcare, or want to talk about potential collaborations, feel free to reach out to me at aneesh [dot] komanduri [at] gmail [dot] com!

Interests

  • Interpretable and Explainable AI
  • Uncertainty Quantification
  • Causality and Deep Learning
  • AI for Healthcare

Education

  • Ph.D. Computer Science, 2026University of Arkansas
  • M.S. Computer Science, 2024University of Arkansas
  • B.S. Computer Science & Math, 2021University of Arkansas

News

Oct 23, 2026 One paper has been accepted to IEEE Big Data 2026
Jun 29, 2026 Joined as a Postdoctoral Research Scientist in the Department of Biomedical Informatics at CU Anschutz Medical Campus to work on NLP for Healthcare!
May 13, 2026 Recognized with Silver Reviewer Award (Top 50% reviewers) by ICML 2026!
Apr 8, 2026 Successfully defended my PhD dissertation titled "Toward Causal Generative Modeling: From Representation Learning to Controllable Generation"
Oct 2, 2025 One paper has been accepted to Lock-LLM Workshop at NeurIPS 2025
Sep 26, 2025 Passed my candidacy PhD proposal defense!
Aug 20, 2025 One paper has been accepted to EMNLP 2025 Main Conference
Jul 26, 2025 Invited to serve as a reviewer for AAAI 2026
May 19, 2025 Starting as a Research Intern at NEC Laboratories America
Apr 22, 2025 Invited to serve as a reviewer for ECAI 2025
Feb 6, 2025 Invited to serve as a reviewer for SIGKDD 2025
Jan 24, 2025 Invited to serve as a reviewer for PAKDD 2025
Jan 2, 2025 Invited to serve as a reviewer for Pattern Recognition Journal
Dec 30, 2024 Invited to serve as a reviewer for IJCAI 2025
Dec 18, 2024 Invited to serve as a reviewer for FPI@ICLR 2025 Workshop
Dec 11, 2024 Invited to serve as a reviewer for ICML 2025
Nov 2, 2024 Selected to participate in AAAI 2025 Doctoral Consortium!
Sep 23, 2024 Invited to serve as a reviewer for CALM@NeurIPS 2024 Workshop
Sep 20, 2024 Won 1st place in NSF DART 2024 Student Poster Competition!
Sep 10, 2024 Invited to serve as a reviewer for LoG 2024
Sep 4, 2024 Invited to serve as a reviewer for TMLR
Aug 22, 2024 Invited to serve as a reviewer for ICLR 2025
Jul 8, 2024 Invited to serve as a reviewer for DMLR
Jul 4, 2024 One paper has been accepted to ECAI 2024
May 24, 2024 Invited to serve as a reviewer for NeurIPS 2024
May 9, 2024 Our survey paper has been accepted to TMLR
Apr 29, 2024 Invited to serve as a reviewer for SPIGM@ICML 2024 Workshop
Apr 16, 2024 One paper has been accepted to IJCAI 2024
Apr 8, 2024 One paper has been accepted at GCV@CVPR 2024 Workshop
Oct 27, 2023 One paper has been accepted at CRL@NeurIPS 2023 Workshop
Oct 5, 2023 Invited to serve as a PC member and reviewer for IEEE ICMLA 2024
Oct 25, 2022 One paper has been accepted to IEEE Big Data 2022
Sep 13, 2021 One paper has been accepted to IEEE ICMLA 2021
Aug 20, 2021 Started Ph.D. program at the University of Arkansas