Curriculum Vitae
PhD student in computer science at Georgia Tech studying machine learning, language models, interpretability, and evaluation in high-stakes domains.
Affiliation
Georgia Institute of Technology, School of Computer Science
Current Role
PhD Student advised by Mark Riedl
Research Focus
Machine learning, language models, social reasoning, evaluation, and interpretability
May 2023 – Present
PhD Student (GPA: 4.0/4.0)
Advised by Professor Mark Riedl, Director of the Machine Learning Center and Human-Centered Artificial Intelligence Lab.
Aug 2021 – May 2023
M.S. Computer Science (GPA: 4.0/4.0)
Coursework: Machine Learning, Deep Learning, Deep Learning with Text, Design of Algorithms and Data Structures, Systems for Machine Learning, and Efficient Computing.
2011
B.A. Economics
Coursework: Statistical Analysis, Quantitative Business Analysis, Research Methodology, Decision Sciences, Applied Game Theory, Industrial Organization, and Finance Systems.
A curated slice of the most recent papers. For the complete archive, continue to the publications page.
2026
Matlin G., Chakraborty C., Parwani M.R., Eom S., Zang A.W., Theerthala A., Chatterjee A., Khandwekar T., Michaels B., Deng A., Riedl M. ATTRIB Workshop, NeurIPS 2026 (accepted). OpenReview
2026
Pokhrel D., Lee J., Khant P.N., Lee V., Weckbecker M., Lapuschkin S., Samek W., Riedl M., Matlin G. ATTRIB Workshop, NeurIPS 2026 (accepted). OpenReview
2026
Gupta S., Krier S., Matlin G. IAB and AIWILD Workshops, NeurIPS 2026 (accepted). OpenReview
2026
Talasila A., Supasanya C., Andelman D., Chinthukumar V., Matlin G. IAEval, Verify-Agents, AI4GOOD, and AIWILD Workshops, NeurIPS 2026 (accepted). OpenReview
2026
Montoya E., Trujillo D.A., Matlin G. EconML Workshop, NeurIPS 2026 (accepted). OpenReview
Aug 2026
Matlin G., Chakraborty C., Eom S., Okamoto M., Castilla R., Jaburi L., Deng A., Min T., Quirke L., Biderman S., Riedl M. 3rd Conference on Language Models (COLM) 2026.
Aug 2026
Riedl M.†, Matlin G.† († equal contribution). Social Simulation with LLMs: Fidelity in Applications Workshop at the 3rd Conference on Language Models (COLM) 2026.
Aug 2026
Matlin G., Song I.†, Zang A.†, Riedl M. († equal contribution). Social Simulation with LLMs: Fidelity in Applications Workshop at the 3rd Conference on Language Models (COLM) 2026.
Aug 2026
Song I.†, Parwani M.R.†, Matlin G.†, Anand E.T., Theerthala A., Chatterjee A., Zang A., Kostylew M., Shavit Y.G., Krier S., Riedl M. († equal contribution). Social Simulation with LLMs: Fidelity in Applications Workshop at the 3rd Conference on Language Models (COLM) 2026.
Aug 2026
Matlin G., Song I.†, Hao Y.†, Mahajan P.†, Montoya E., Bard R., Topp S., Zang A., Parwani M.R., Shetty S., Riedl M. († equal contribution). Social Simulation with LLMs: Fidelity in Applications Workshop at the 3rd Conference on Language Models (COLM) 2026. Earlier version: Wordplay: When Language Meets Games Workshop at EMNLP 2025. arXiv:2509.17192
Feb 2026
Okamoto M., Erol A.K., Matlin G. MLSys 2025 Young Professionals Symposium. arXiv:2602.02386
Jan 2026
Matlin G., Theerthala A., Gupta A., Anirudh JM, Castilla R., Ng Y.M., Chava S. Workshop on Agentic AI in Financial Services at the 40th AAAI Conference on Artificial Intelligence (AAAI) 2026. arXiv:2601.06747
Dec 2025
Matlin G., Siddharth, Anirudh JM, Shukla A., Hassan Y., Chava S. GenAI Finance Workshop at the 39th Annual Conference on Neural Information Processing Systems (NeurIPS) 2025. arXiv:2512.08965
Aug 2025
Matlin G., Zhang D., Loza R., Popescu D.M., Isbell J., Chakraborty C., Riedl M. 2nd Conference on Language Models (COLM) 2025 (Top 3% paper; 28% acceptance rate). arXiv:2508.15794
Jun 2025
Matlin G., Okamoto M., Pardawala H., Yang Y., Chava S. Findings of the Association for Computational Linguistics: ACL 2025. arXiv:2506.15846
Unpublished work in preparation.
Sep 2026
Chakraborty C., Song I., Zang A.W., Parwani M.R., Riedl M., Matlin G. Manuscript in preparation, 2026.
2026
ML Alignment & Theory Scholars (MATS) Program
2026
2026
Thinking Machines Lab, Tinker Research Grant
2025
OpenAI, Special Competitive Studies Project
2025
National Science Foundation (NSF), Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS)
2025
Together AI, Research Credits Program
2024
Defense Advanced Research Project Agency (DARPA)
2024
Georgia Institute of Technology, Institute of Data Engineering and Science (IDEaS), Cyberinfrastructure Resources CFP
2023
Georgia Institute of Technology, Institute of Data Engineering and Science (IDEaS), Cyberinfrastructure Resources CFP
600,000 CPU hours on AMD Genoa servers, 36,000 hours of NVIDIA DGX H-100 GPU server usage, and 172 TB of secure storage.
2023
School of Computer Science, Georgia Institute of Technology
2009 – 2011
University of Central Florida
2006
Recognizes exceptional academic achievement with a 100% tuition award, earned through strong GPA, SAT scores, and 100+ service hours.
Starting Nov 2026
Incoming Funded Fellow (Cohort 9.2 Extension)
Jul 2026 – Oct 2026
Fellow (Cohort 9.1 Extension)
May 2026 – Present
Graduate Research Assistant
Information and Communications Laboratory (ICL). Funded research assistantship with Dr. Pat Langley on Planning with Utilities and Goals (PUG): goal reasoning and utility-guided planning for intelligent agents.
Mar 2026 – Present
Research Mentor
Jan 2026 – Mar 2026
Fellow (Cohort 9.0)
Jul 2023 – Present
Research Assistant
May 2023 – Aug 2025
Research Assistant
May 2023 – Sep 2023
Research Intern
Jun 2022 – Aug 2022
Research Intern
Jan 2022 – May 2023
Research Assistant
Spring 2026
CS 7634 — Artificial Intelligence Storytelling in Virtual Worlds
Fall 2025
MGMT 8803 — Machine Learning for Finance
Fall 2024
MGMT 8803 — Artificial Intelligence for Finance
Fall 2023 – Spring 2024
CS 7641 — Machine Learning
Spring 2023 – Summer 2023
CS 6515 — Graduate Algorithms & Data Structures
Fall 2022
CS 8803 — Systems for Machine Learning
Fall 2025
Graph-Based Retrieval Augmented Generation (GraphRAG)
2nd Conference on Artificial Intelligence and the Future of Finance
Spring 2025
Financial Language Model Evaluation (FLaME)
ML@GT Student Conference 2025
Spring 2024
Efficient Adaptation of Large Language Models for Domain-Specific Tasks
1st Conference on Artificial Intelligence and the Future of Finance
Fall 2023
Theoretical Foundations of Natural Language Processing
CS 7641 — Machine Learning, Georgia Tech
Summer 2022
Advanced Techniques for Deep Learning with Electronic Health Records
Clinical and Patient Analytics, Children’s Healthcare of Atlanta
Fall 2021
Deep Learning with Electronic Health Records
CS 8803 — Systems for Machine Learning, Georgia Tech
2026 – Present
Organizer (Social Chair)
Apr 2026 – Present
Organizing Committee
Jan 2026 – Mar 2026
Fellowship Facilitator
Aug 2025 – Dec 2025
Fellow
2025
Conference Organizer
2024
Program Committee
2024
Conference Organizer
Fall 2023
Project Mentor
Conference and track reviewer: Conference on Language Models (COLM) 2026; NeurIPS 2026 Position Paper Track; ACL Rolling Review (May 2025 cycle).
Workshop reviewer: Mechanistic Interpretability Workshop at ICML 2026; Attributing Model Behavior at Scale (ATTRIB) and Trustworthy AI for Good (AI4GOOD) at NeurIPS 2026.
Industry roles remain part of the story, but they support the current academic trajectory rather than lead it.
Nov 2020 – Jul 2021
Senior Data Scientist, Machine Learning
Jan 2019 – May 2020
Senior Data Scientist, Artificial Intelligence
Jan 2017 – Oct 2018
Data Scientist
May 2015 – Dec 2016
Senior Data Analyst
Mar 2014 – Apr 2015
Research Analyst
Aug 2012 – Aug 2013
Research Analyst
Jan 2011 – Dec 2011
Research Analyst
2002 – 2005
IT Systems Consultant
Python, Rust, Go, PyTorch, TensorFlow, Scikit-learn, Pandas, SciPy, NumPy, shell scripting, unit and integration testing, and CI/CD.
Large language models, GPT, BERT, Hugging Face, spaCy, Gensim, NLTK, deep learning, generative AI, embeddings, clustering, and statistical modeling.
Amazon, Google, and Azure cloud services; Spark, Kubernetes, Ray, Modin, Dask, MLFlow, Airflow, and distributed computing.
SQL and NoSQL, Excel, R, SAS, Tableau, SPSS, D3.js, Jupyter, Matplotlib, Plotly, and Seaborn.
The web CV is a fast public-facing summary. Use the PDF for the full formal record, or reach out directly below.
Social Training Data Attribution ($10,000 compute credits)
Modal Labs, Modal for Academics