CV
Education
- Ph.D. in Industrial and Systems Engineering (Concentration in Optimization), University of Southern California, Expected 2028
- Annenberg Fellow, QuantSC
- M.S. in Mathematical Finance, University of Southern California, Expected 2027
- B.S. in Mathematics, University of California, Los Angeles, 2020–2024
- 8x Dean’s Honor List, UCLA Mock Trial Team, Data Science Union
Research
Capital One, Research Fellow — Dec 2024 – Present, Los Angeles, CA
Received award to support research with Prof. Johannes Royset. Designing fault-tolerant ML loss functions and graph-based algorithms for optimal change-point detection and attribution, emphasizing built-in explainability.
- USC Math Department, Student Researcher — Dec 2024 – Present, Los Angeles, CA
- Conducted research into risk averse deep Q learning architectures for autonomous trading algorithms. Achieved 13% growth performance during back testing.
- Formulated a closed loop stochastic control model of oil pricing and production with merton jump diffusion. Built numerical solver for partial integro differential systems. Worked under Professor Jianfeng Zhang.
- Developed novel algorithms for value function estimation in blind multi-stage scoring auctions under Profesor Detlof Winterfeld.
- Conducting research into mixture of expert models for attention based asset allocation under Professor Austin Pollok
Institute of Pure and Applied Mathematics (IPAM), Quantum Algorithms Researcher — Jun 2024 – Present, Los Angeles, CA
Conducting research with Dr. Jeff Marshal and Dr. Namit Anand at NASA Ames to develop efficient algorithms for the classical simulation of high-depth noisy quantum circuits. Work included high performance simulation using multiprocessing and CUDA. Achieved the only practically situatable noisy quantum circuit of depth 10,000 (700x current state of the art).
UCLA MFG Lab, Mean Field Games Researcher — Jun 2023 – Jun 2024, Los Angeles, CA
Research under Professor Wilfrid Gangbo on a multi-population mean field game model of inter-bank lending to study the relationship between different population-risk profiles and system failure.
Red Hen Labs, Optimal Control Researcher — Mar 2023 – May 2024, Los Angeles, CA
Model predictive control with cognition constraints; Python MPC implementations; quantum decision-making models and optimal control models for biological systems, trust-based markets, and value-aware optimization.
KAUST, NUMPDE Lab, Mixed Finite Elements Researcher — Apr 2023 – Jul 2023, Jeddah, Saudi Arabia
Worked under Professor Daniele Boffi on the numerical approximation of PDEs using mixed finite element methods. Developed a fictitious domain formulation with distributed Lagrange multipliers for fluid-structure interaction problems, and compiled a standard Python library.
UCLA Communication News Archive, Machine Learning Engineer — Aug 2022 – Present, Los Angeles, CA
Collaborated with Professor Tim Groeling on single-linkage clustering to detect show boundaries in UCLA’s Rosenthal News Collection. Also developed a transcription and translation pipeline for multilingual news for use in linguistics and public policy.
UCLA Paris Labs, Stochastic Optimization Researcher — Oct 2020 – Jun 2022, Los Angeles, CA
Research with Professor Mathieu Bauchy involving ML and stochastic optimization for amorphous materials. Built a particle swarm optimizer with simulated annealing to generate glass compositions with specified properties.
Industry Experience
Google, Summer of Code Participant — May 2024 – Aug 2024, Los Angeles, CA
Used deep reinforcement learning and quantum circuits to model the probabilistic behavior of Stentor Roseli. Developed a quantum circuit to simulate protist decision making with 93% accuracy. Implemented and tested DQN variants using OpenAI Gym.
UBS, Wealth Management / Data Analyst Intern — Dec 2022 – Apr 2024, Los Angeles, CA
Built NLP pipelines to scrape news articles for client prospects. Developed decision tree-based models to rank prospects by fit.
Sentient.io, Machine Learning Researcher — Jul 2022 – Jan 2023, Singapore
Built validation/testing pipelines for audio emotion recognition AI. Implemented phonetic transcription (IPA → Arphabet) and deployed speech and pose recognition models via Docker.
Origgin Venture Capital, Data Analyst Intern — Jun 2022 – Aug 2022, Singapore
Used zero-shot learning and statistical tools to detect trends in patent data and helped automate reporting of emerging green energy IP.
Vulcan Value Partners, Machine Learning Engineer Intern — Jun 2021 – Oct 2021, Birmingham, AL
Duffl, Project Manager / Data Analyst — Oct 2020 – Mar 2022, Los Angeles, CA
Led a team to build the app’s recommendation engine. Developed NLP and Bayesian models for inventory predictions and delivery optimization.
Teaching
Hodis Learning, Math Instructor — Jan 2025 – Present
Teach grades K–12 in Geometry, Calculus, Pre-Calculus, Statistics, and more.
UCLA, Teaching Assistant (MATH 32B) — Sep 2023 – Jan 2024, Los Angeles, CA
Assisted in course on multivariable integration, including line, surface, and flux integrals.
Bruin Corps, Instructor — Aug 2022 – Dec 2022, Los Angeles, CA
Taught math at underserved LA schools and helped create a tutoring program.
Mayer Cressy, Speech Instructor — Jul 2020 – Dec 2022
Taught Mock Trial and Speech & Debate to classes of 10–30 students.
Global Mock Trial, Founder — Aug 2023 – Jun 2024
Created nonprofit to promote due process education. Partnered with 20+ schools across Asia and raised $$20K.
Publications
Talks
Dynamic Value Spaces: Moving Toward Pluralistic Alignment for Embodied AI
Talk at Beijing Forum: AI for a Harmonious Society: Building a Safe and Trustworthy Future, Beijing, China
Blind Multi-Stage Scoring Auctions with Value Function Estimation
Talk at International Conference on Industrial Logistics, Tokyo, Japan
A Pruned Shortest Path Algorithm for L_0 Optimization Problems with Rockafellian Perturbations
Poster at Capital-One CREDIF Symposium, Los Angeles, CA, USA
A Quantum Statistical Model of Decision Making in a Single-Cell Eukaryote
Poster at 47th Annual Meeting of the Cognitive Science Society, San Francisco, CA, USA
The Ontology and Architecture of Intelligence
Talk at Social Intelligence Workshop @ Peking University , Beijing, China
Classical Simulation of Non-Clifford Noise Channels
Talk at Join Mathematical Meeting, Seattle, WA, USA
Modeling Trust Based Markets
Talk at 46th Annual Meeting of the Cognitive Science Society, Rotterdamn, Netherlands
Service & Skills
- Leadership: Founder & VP USC INFORMS, Viterbi Graduate Senator
- Organizations: INFORMS, SIAM, EAAMO
- Reviewer: ICML, Cognitive Science Society
Technologies: Python, C++, PyTorch, TensorFlow, Julia, SQL
- Languages: English (Native), Arabic (Fluent)
- Python: (NumPy, SciPy, PyTorch, CVXPY, Dask, CUDA)
- Optimization: Convex, Stochastic, Mixed-Integer, MPC
- Machine Learning: DRL, NLP, Clustering, Topic Modeling
- Mathematical Modeling: MFG, Control Theory, PDEs
- Quantum Computing: Clifford simulation, noise modeling
- Communication: Public speaking, curriculum development
Awards and Honors
- 2026 National Science Foundation Operations Research & Artificial Intelligence Fellow: 200k fellowship which supports PhD students working at the intersection of OR and AI.
- 2025 Capital One Fellow in AI & Finance: 100k award which recognizes outstanding achievement in the fields of artificial intelligence and finance.
- 2024 Anneberg Fellow at USC: This prestigious fellowship is awarded to top graduate students at the University of Southern California.
- 2024 IPAM REU Recipient: Accepted as a Researcher to IPAM’s REU program at UCLA. Aceptence rate is 3%.
- 2024,2023 American Mock Trial Association All-American (Top 0.5%): This award recognizes an individual’s exceptional performance and skill in a national mock trial competition.
- 2023 American Mock Trial Association National Champion: This honor is awarded to the top team in the U.S of 700 universities.
- 2022 UCI Hackathon Best AI Application: This award is given for work in NLP news media bias detection. Developed app with open sourced auto-encoder BERT.
- 2022,2021 American Mock Trial Association 2nd & 3rd Place (National)
- 2021 Accenture Case Competition 2nd Place: Was awarded for proposing business solution for healthcare startups.
- 2019 California State Legislature Certificate of Recognition: Was awarded for research project into sports diplomacy programs.
- 2019 SoCalGas Energy Award: Was awarded for research into acid rain resistent material coatings.
- 2018 ASU Walton Sustainability Award: Was awarded for research into developing carbon sequestering concrete.
- 2018 PECG James E. Roberts Award: Was awarded for research into developing carbon sequestering concrete.