Computer Science PhD student researching reinforcement learning, with prior experience building and evaluating applied machine learning and quantitative models.
Education
Aug 2024 – expected May 2029
PhD in Computer Science
Fordham University
Supervised by Juntao Chen. Research and teaching assistant. Reinforcement learning, world models, representation learning, multi-agent learning, and game/decision theory.
Jan 2022 – May 2023
MSc in Data Science
Fordham University
GPA: 4.00/4.00. Research and teaching assistant for Algorithms for Data Science and Data Visualization.
Mar 2021 – Mar 2022
Master of Business Administration
Quantic School of Business and Technology
Honors.
Aug 2014 – Apr 2018
BS in Business Engineering
Santo Domingo Institute of Technology (INTEC)
GPA: 3.81/4.00. Summa Cum Laude. Meritorious Scholarship (top 1% program).
Research & industry experience
May – Jul 2025
Fordham–IBM Research Intern
Fordham University
- Conducted collaborative research on coupling representation learning and reinforcement learning through a Stackelberg-game formulation and bilevel optimization.
- First author of SCORER, published at ICLR 2026.
Jul 2023 – Aug 2024
Quantitative Modeling, Assistant Vice President
MUFG Americas · CCAR Capital Planning
- Led development and implementation of an interconnected capital planning model suite, automating workflows and reducing opportunities for human error.
- Redeveloped quantitative models and evaluated new predictors for performance and business relevance.
- Validated and monitored models, including stress testing under extreme input conditions.
Sep 2021 – Jul 2023
Data Scientist
Smart Energy
- Developed end-to-end machine learning models to support marketing campaigns for more than 10,000 warm leads.
- Analyzed data, ran A/B experiments, and communicated findings and recommendations to stakeholders.
Apr 2020 – Sep 2021
Data Scientist, Research and Analytics Office
General Directorate of Internal Taxes · Dominican Republic
- Created, validated, tested, and tuned machine learning models for tax noncompliance detection and risk profiling.
- Produced analyses and recommendations to support tax auditing decisions.
Sep 2018 – Apr 2020
Data Analyst, Registry Office
General Directorate of Internal Taxes · Dominican Republic
- Implemented digital forms for the National Taxpayer Registry.
- Designed and developed automated tax assignment based on economic activities and taxpayer behavior.
Aug 2017 – Sep 2018
Project Analyst
INABIMA · Dominican Republic
- Established a risk-based project management system.
- Implemented statistical indicators to evaluate social impact.
Selected research
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
ICLR, 2026
A Stackelberg formulation lets representations adapt faster than value estimates, stabilizing their interaction in deep Q-learning.
In-Context Reinforcement Learning via Communicative World Models
IJCAI, 2026
A pretrained world model communicates reusable context, helping a separate control agent learn faster and adapt to new tasks.
Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World Models
arXiv preprint, 2026 (Submitted manuscript)
Pretrained world models predict the consequences of alternative actions, improving fully decentralized on-policy multi-agent learning.
Ask the Expert: LLM-Guided Reinforcement Learning for Autonomous Cyber Defense
IEEE GLOBECOM, 2026 (Accepted; proceedings forthcoming)
LLM advice shapes rewards during training, improving sample efficiency for autonomous cyber defense without LLM calls at deployment.
Technical skills
- Research
- Reinforcement learning, world models, representation learning, multi-agent learning, game/decision theory, bilevel optimization
- Programming & ML
- Python, JAX, PyTorch, TensorFlow, scikit-learn, NumPy, pandas, R, SQL, Bash, C++
- Data & infrastructure
- PySpark, Snowflake, MongoDB, GCP, Azure, Microsoft Fabric, Kubernetes
- Visualization
- Matplotlib, Seaborn, Tableau, Power BI
Honors & awards
- AI Summer Research Fellowships, Fordham University (2025, 2026)
- GSAS Graduate Research Assistantship Award, Fordham University (2022)
- Full International Scholarship, Dominican Republic Ministry of Higher Education, Science, and Technology (2021)
- Full Scholarship, Quantic School of Business and Technology (2021)
- Summa Cum Laude, INTEC (2018)
- Meritorious Scholarship, INTEC (2014; top 1% program)
Academic service & volunteering
- Conference reviewer: NeurIPS, ICML, AAAI, and CDC (2026); INFOCOM NGResNet workshop (2025).
- Upcoming conference service: ACC (2027).
- Volunteer, TECHO, Santo Domingo, Dominican Republic.