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Curriculum Vitae

Academic and professional background

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Education

Georgia Institute of Technology, School of Computer Science | 05/2023 – Present

Ph.D. Candidate (GPA: 4.0/4.0)

Advised by Professor Mark Riedl, Director of Machine Learning Center, Human-Centered Artificial Intelligence Lab; College of Computing; Co-Advised by Professor Sudheer Chava, Alton M. Costley Chair Professor of Finance; Financial Services Innovation Lab, College of Business

Georgia Institute of Technology, School of Computer Science | 08/2021 – 05/2023

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, Efficient Computing

University of Central Florida, College of Business | 2011

B.A. Economics

Coursework: Statistical Analysis, Quantitative Business Analysis, Research Methodology, Decision Sciences, Applied Game Theory, Industrial Organization, Finance Systems

Publications

  1. Do Language Models Agree with Human Perceptions of Suspense in Stories?, 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

  2. Financial Language Model Evaluation (FLaME), Matlin G., Okamoto M., Pardawala H., Yang Y., Chava S., Findings of the Association for Computational Linguistics: ACL 2025. arXiv:2506.15846

  3. Financial Instruction Following Evaluation (FIFE), 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

  4. Shall We Play a Game? Language Models for Open-ended Wargames, Matlin G., Mahajan P., Song I., Hao Y., Bard R., Topp S., Montoya E., Parwani M.R., Shetty S., Riedl M., Wordplay: When Language Meets Games Workshop at the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025. arXiv:2509.17192

  5. FinForge: Semi-Synthetic Financial Benchmark Generation, 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

  6. Trust by Design: Skill Profiles for Transparent, Cost-Aware LLM Routing, Okamoto M., Erol A.K., Matlin G., MLSys 2025 Young Professionals Symposium. arXiv:2602.02386

  7. UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification, Xu Y., Khare A., Matlin G., Monish R., Zhang C., Tumanov A., 36th Annual Conference on Neural Information Processing Systems (NeurIPS) 2022 (25% acceptance rate). arXiv:2210.15056

Honors & Awards

MATS Research Fellowship ($30,000) | 2026

ML Alignment & Theory Scholars (MATS) Program

Social Training Data Attribution ($10,000 compute credits) | 2026

Modal Labs, Modal for Academics

Financial Economics Reasoning Reinforcement ($5,000 compute credits) | 2026

Thinking Machines Lab, Tinker Research Grant

clAIrvoyant, AI+ Expo Hackathon 2025 ($15,000 prize money) | 2025

OpenAI, Special Competitive Studies Project

Accelerate — 3,000,000 ACCESS Credits (~$100,000 compute credits) | 2025

National Science Foundation (NSF), Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS)

Financial Language Model Evaluation / FLaME ($6,000 compute credits) | 2025

Together AI, Research Credits Program

MAGIC — Machine Assisted Global Intelligence Collection ($300,000 funding) | 2024

Defense Advanced Research Project Agency (DARPA)

FiduciAIry — Mitigating Hallucinations in Financial Question Answering ($100,000 compute credits) | 2024

Georgia Institute of Technology, Institute of Data Engineering and Science (IDEaS), Cyberinfrastructure Resources CFP

FinGT — Financial Generative Transformers (~$150,000 compute credits) | 2023

Georgia Institute of Technology, Institute of Data Engineering and Science (IDEaS), Cyberinfrastructure Resources CFP

600,000 CPU hours on AMD Genoa Server, 36,000 hours of NVIDIA DGX H-100 GPU server usage, and 172 TB of secure storage

1st Prize, Ph.D. Research and Poster Competition | 2023

School of Computer Science, Georgia Institute of Technology

Dean’s List Scholar (4 Semesters) | 2009 – 2011

University of Central Florida

Florida Academic Scholarship (20% acceptance rate) | 2006

Recognizes exceptional academic achievement with a 100% tuition award. Earned through outstanding GPA, SAT scores, and completion of 100+ service hours.

Research Experience

Berkeley Existential Risk Initiative (BERI) | 03/2026 – Present

Research Assistant

ML Alignment & Theory Scholars (MATS) Program | 01/2026 – Present

Research Assistant

Human-Centered Artificial Intelligence Lab | 07/2023 – Present

Research Assistant

Financial Services Innovation Lab | 05/2023 – Present

Research Assistant

Lemurian Labs | 05/2023 – 09/2023

Research Intern

Children’s Healthcare of Atlanta | 06/2022 – 08/2022

Research Intern

Systems for Artificial Intelligence Lab | 01/2022 – 05/2023

Research Assistant

Teaching Experience

CS 7634 — Artificial Intelligence Storytelling in Virtual Worlds | Spring 2026

MGMT 8803 — Machine Learning for Finance | Fall 2025

MGMT 8803 — Artificial Intelligence for Finance | Fall 2024

CS 7641 — Machine Learning | Fall 2023 – Spring 2024

CS 6515 — Graduate Algorithms & Data Structures | Spring 2023 – Summer 2023

CS 8803 — Systems for Machine Learning | Fall 2022

Invited Talks

Graph-Based Retrieval Augmented Generation (GraphRAG) | Fall 2025

2nd Conference on Artificial Intelligence and the Future of Finance

Financial Language Model Evaluation (FLaME) | Spring 2025

ML@GT Student Conference 2025

Efficient Adaptation of Large Language Models for Domain-Specific Tasks | Spring 2024

1st Conference on Artificial Intelligence and the Future of Finance

Theoretical Foundations of Natural Language Processing | Fall 2023

CS 7641 — Machine Learning, Georgia Tech

Advanced Techniques for Deep Learning with Electronic Health Records | Summer 2022

Clinical and Patient Analytics, Children’s Healthcare of Atlanta

Deep Learning with Electronic Health Records | Fall 2021

CS 8803 — Systems for Machine Learning, Georgia Tech

Skills

Software Engineering: Python, Rust, Go, PyTorch, TensorFlow, Scikit-learn, Pandas, SciPy, NumPy, Shell Scripting, Unit and Integration Testing, Continuous Integration & Deployment

Artificial Intelligence: Deep Learning, Generative AI, Neural Networks (Recurrent, Convolutional, Graph), Machine Learning (Trees, Regression, Embeddings, Clustering, Statistics & Probability)

Natural Language: Large Language Models (LLM), Generative Pre-trained Transformers (GPT), Bidirectional Encoder Representation from Transformers (BERT), HuggingFace, spaCy, Gensim, NLTK

Computer Engineering: Hardware Description Language (System Verilog), Test Benches (cocoTB), Power-Performance-Area Analysis, Tensor Processing Units, Systolic Arrays

Systems Engineering: Cloud Services (Amazon, Google, Azure), Cluster Computing (Spark, Kubernetes), Ray, Modin, Dask, MLFlow, Airflow, Parallelized & Distributed Computing

Analysis & Visualization: SQL/NoSQL, Excel, R, SAS, Tableau, SPSS, D3.js, Jupyter, Matplotlib, Plotly, Seaborn

Professional Experience

Komodo Health — San Francisco, CA | 11/2020 – 07/2021

Senior Data Scientist, Machine Learning

  • Developed Machine Learning (ML) systems using clinical data to detect rare and undiagnosed diseases
  • Designed greedy optimization algorithms to solve class imbalance problems with sparse data to engineer near-optimal datasets for ML, resulting in 4x effectiveness over previous manual process
  • Managed a team of ML engineers focused on algorithm development, including junior mentorship
  • Led complex cross-functional ML projects with pharmacological and clinical subject-matter experts

Change Healthcare — Emeryville, CA | 01/2019 – 05/2020

Senior Data Scientist, Artificial Intelligence

  • Led end-to-end development of a Deep Learning (DL) based medical bill auditing system for scanning and analyzing > 100M pages of paper clinical records, leading to significant reduction of waste, fraud, and abuse
  • Built production and testable code for an enterprise Natural Language Processing (NLP) system capable of launching AWS pipelines to automate manual insurance claim auditing, generating $400K in cost savings
  • Managed team developing platform for information extraction and clinical predictions using a large corpora of unstructured text to enable rapid and turn-key deployment of new models for business partners
  • Onboarded and managed a remote team of five medical annotation specialists, labeling 360K clinical records via programmed annotation tools to train DL models while saving $200K versus alternative option

LendUp — San Francisco, CA | 01/2017 – 10/2018

Data Scientist

  • Organized full development lifecycle of XGBoost and Logistic Regression models with Hyperopt for credit-card underwriting, responsible for ideation, testing, validation, deployment, and iterative improvements
  • Launched a new cross-functional team with Growth Marketing to develop ML platform using XGBoost
  • Developed new customer micro-targeting when predicting marketing responses, driving $1.5M in revenue
  • Rearchitected Operations Analytics Department including new user-experience features, rebuilding data pipelines, and providing new automated reporting capabilities while eliminating years of technical debt
  • Developed internal data-science career program, providing technical mentorship for 20 employees across the company and successfully placing four employees in data-analyst roles

RichRelevance — San Francisco, CA | 05/2015 – 12/2016

Senior Data Analyst

  • Led data analysis and custom performance reporting for a variety of key e-Commerce clients, including Costco, Patagonia, Under Armor, driving new revenue by deploying ML recommendation systems for clients
  • Spearheaded development of custom client-facing statistical reports by analyzing petabytes of unstructured Hadoop cluster logs to demonstrate lift in spending due to recommendation tools
  • Conducted multivariate ML experiments in order to optimize collaborative-filtering models

John Tyler Community College — Richmond, VA | 03/2014 – 04/2015

Research Analyst

  • Guided college administration with demographic analysis on new program design and institutional planning
  • Forecasted long-term demographic and economic profile of service area for institutional strategic planning
  • Consulted with advanced-manufacturing industry leadership on labor shortages and training gaps

Southeastern Institute of Research — Richmond, VA | 08/2012 – 08/2013

Research Analyst

  • Coordinated quantitative research and consulting with the Commonwealth of Virginia and Fortune 500s
  • Organized impact studies for state legislature to quantify transportation-construction return on investment
  • Audited waste from IT budget and migrated to Amazon Web Services, resulting in annual IT savings of $75K

Center for the Economic Analysis of Risk — Georgia State University | 01/2011 – 12/2011

Research Analyst

  • Conducted quantitative behavioral research on traffic patterns for the Federal Highway Administration
  • Analyzed experimental data gathered from both virtual-reality simulations and GPS sensors for vehicles

Self-Employed | 2002 – 2005

IT Systems Consultant

  • Graduated high school at 15 and started a personal business building IT solutions for local businesses
  • Created a remote virtual-desktop environment using thin-client laptops to enable agents complete mobility
  • Implemented “paperless office” solutions to eliminate overhead costs and provide text-search capability

Contact

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