Isaac Aurelio Felix

New York, NY•linkedin.com/in/isaacfelix•isaacfelix0987@outlook.com
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Education

Jan 2025 — Dec 2026

M.S. Computer Science

Georgia Institute of Technology

Jan 2022 — Dec 2023

B.S. Computer Science & Linguistics

University of Illinois at Chicago

Experience

Feb 2024 — Present

Quantitative Analyst

Bank of America

Financial Crime Detection Models
  • Led the integration and launch of an AI platform now used by 1,000+ investigators as their primary tool, managing vendor due diligence and defining precision/recall acceptance gates for production deployment.
  • Defined the performance metrics and monitoring framework for an AI-powered investigation tool that auto-generates entity resolution and risk scores, tracking tool adoption and investigator sentiment post-launch.
Consumer Portfolio Strategy & Analytics
  • Analyzed consumer behavior by modeling credit degradation curves via cohort analysis to better predict portfolio performance; findings influenced a material strategic adjustment in risk management.
  • Built and managed a daily bankruptcy analytics pipeline (SAS, SQL), delivering critical 'beat/miss' signals to directors to drive data-informed portfolio strategy changes.
  • Validated challenger models by analyzing feature importance and conducting stress-tests, translating technical findings into actionable recommendations for directors on improving loss prediction accuracy.
Aug 2025 — Present

Research Assistant

Georgia Institute of Technology (Mussmann Lab)

  • Partnered with the City of Charleston to evaluate sensor network expansion by modeling train crossing delay predictability, establishing performance benchmarks new hardware must exceed.
Sep 2025 — Dec 2025

AI Policy Fellow

Paragon Policy

  • Consulted the NYC Dept. of Education to design the technical procurement framework for AI adoption across 1,500+ schools serving 1M+ students.
  • Defined district-wide security guardrails and data privacy standards, establishing the equitable implementation plans for vendor software.
May 2025 — Jul 2025

Research Assistant

Georgia Institute of Technology (Friendly Cities Lab)

  • Created the data schema to structure processed datasets; built Python ETL pipelines (Geopandas) to normalize geospatial data for legislative congruence analysis.
  • Contributed to the draft research manuscript by conducting a comprehensive literature review on legislative congruence.
Jun 2023 — Aug 2023

Quantitative Analyst Intern

Bank of America

  • Prototyped a mortgage delinquency risk engine (LSTM on Spark), identifying key consumer risk features to improve early-warning signals for loan defaults.
  • Preprocessed raw loan-level data to correct irregularities and outlier biases, optimizing data integrity for downstream risk modeling.
Aug 2022 — Dec 2023

Research Assistant

Learning + Interest + Technology Lab

  • Co-developed PATHWiSE (published at HRI '24), an AI authoring tool co-designed with 13 teachers to create custom robot-assisted learning activities using GPT-4.
  • Iterated on product features based on field tests with educators, directly translating qualitative user feedback into technical engineering specifications.
Sep 2022 — Dec 2022

Mobile Networks Co-op

Nokia

  • Partnered with engineering teams to drive the modernization of 5G radio-control software, reducing technical debt and accelerating system maintainability for legacy infrastructure.

Fellowships & Leadership Experience

Mar 2026 — Present

AI Safety Policy Fellow

Georgia Tech AISI

  • Evaluating policy frameworks for the responsible deployment of transformative AI systems, analyzing frontier AI regulation, progress timelines, and national security implications.
Aug 2023 — Dec 2023

Mentor

Society of Hispanic Professional Engineers

  • Mentored junior engineering students on academic planning and career development in tech.

Research and Publications

March 2024

Publication (HRI '24)

M. A. Rahman, I. A. Felix, U. Shahid, and J. E. Michaelis, "PATHWiSE: An AI-Assisted Teacher Authoring Tool for Creating Custom Robot-Assisted Learning Activities", Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24), pp. 88–90, March 2024. DOI: 10.1145/3610978.3641086