Glenn Matlin

Georgia Institute of Technology, School of Computer Science

Ph.D. Candidate (GPA: 4.0/4.0)

Advised by Professor Mark Riedl, Director of the Machine Learning Center and Human-Centered Artificial Intelligence Lab, and co-advised by Professor Sudheer Chava, Alton M. Costley Chair Professor of Finance in the Financial Services Innovation Lab.

Georgia Institute of Technology, School of Computer Science

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.

University of Central Florida, College of Business

B.A. Economics

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

MATS Research Fellowship ($30,000)

Machine Alignment, Transparency, and Security (MATS) Program

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

Modal Labs, Modal for Academics

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

Thinking Machines Lab, Tinker Research Grant

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

OpenAI, Special Competitive Studies Project

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

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

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

Together AI, Research Credits Program

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

Defense Advanced Research Project Agency (DARPA)

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

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

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

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.

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

School of Computer Science, Georgia Institute of Technology

Dean’s List Scholar (4 Semesters)

University of Central Florida

Florida Academic Scholarship (20% acceptance rate)

Recognizes exceptional academic achievement with a 100% tuition award, earned through strong GPA, SAT scores, and 100+ service hours.

Berkeley Existential Risk Initiative (BERI)

Research Mentor

Machine Alignment, Transparency, and Security (MATS) Program

Research Assistant

Human-Centered Artificial Intelligence Lab

Research Assistant

Financial Services Innovation Lab

Research Assistant

Lemurian Labs

Research Intern

Children’s Healthcare of Atlanta

Research Intern

Systems for Artificial Intelligence Lab

Research Assistant

AI Safety Initiative (AISI)

Fellowship Facilitator

AI Safety Initiative (AISI)

Fellow

Komodo Health — San Francisco, CA

Senior Data Scientist, Machine Learning

• Developed machine learning systems using clinical data to detect rare and undiagnosed diseases.
• Managed a team of ML engineers focused on algorithm development, including junior mentorship.

Change Healthcare — Emeryville, CA

Senior Data Scientist, Artificial Intelligence

• Led end-to-end development of a deep-learning medical bill auditing system for scanning and analyzing more than 100 million pages of clinical records.
• Built production NLP systems that automated insurance claim auditing and generated significant cost savings.

LendUp — San Francisco, CA

Data Scientist

• Owned the full development lifecycle of underwriting models using XGBoost, logistic regression, and Hyperopt.
• Developed new customer micro-targeting strategies that drove $1.5M in revenue.

RichRelevance — San Francisco, CA

Senior Data Analyst

• Led data analysis and performance reporting for major e-commerce clients while supporting ML recommendation deployments.
• Analyzed petabytes of Hadoop logs to build client-facing statistical reports showing lift from recommendation systems.

John Tyler Community College — Richmond, VA

Research Analyst

• Guided college administration with demographic analysis for new program design and institutional planning.
• Forecasted long-term demographic and economic trends for strategic planning.

Southeastern Institute of Research — Richmond, VA

Research Analyst

• Coordinated quantitative research and consulting with the Commonwealth of Virginia and Fortune 500 companies.
• Audited IT waste and migrated systems to Amazon Web Services, reducing annual costs by $75K.

Center for the Economic Analysis of Risk — Georgia State University

Research Analyst

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

Self-Employed

IT Systems Consultant

• Started a personal business building IT solutions for local businesses after graduating high school at 15.
• Implemented remote virtual-desktop and paperless-office systems to improve mobility and reduce overhead.