Current: Trader at Citadel Securities


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Citadel Securities

January 2024 - Present

New York, NY, United States

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Associate Quantitative Trader

Man Group

March 2023 - January 2024

Boston, MA, United States

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MIT Sloan School of Management

Master of Finance Candidate

July 2021 - Feburary 2023

Cambridge, MA, United States

Financial Engineering concentration
Business Analytics Sloan certificate

Graduate Student Researcher

January 2022 - December 2022

Cambridge, MA, United States

Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulations for Derivatives Pricing and Dynamic Hedging

Advisor: Professor Leonid Kogan

Graduate Research Assistant

September 2021 - December 2021

Cambridge, MA, United States

Research Assistant at MIT Sloan Operations Management collaborating with Liberty Mutual Insurance

Uplift Modeling for Causal Inference Machine Learning & Data Drift Detection

Advisor: Professor Negin Golrezaei

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Data Science Intern

Capital One

June 2022 - August 2022

New York, NY, United States

Enterprise Machine Learning — Graph Representation Learning

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Fellow (W22 Cohort)

Olam Ventures

January 2022 - April 2022

Paris, Île-de-France, France

DeFi & Web3

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Halıcıoğlu Data Science Institute, UC San Diego

Undergraduate Research Assistant

August 2020 - December 2021

La Jolla, CA, United States

Deep Learning Research Assistant at the Halicioğlu Data Science Institute collaborating with UCSD's Department of Radiology

Received NSF REU Scholarship

Deep Learning for Computer Vision in COVID-19 Medical Imaging: Working on an NSF/DARP grant research project to implement local/global explainable AI methods on computer vision models and analyze chest X-rays/CTs of COVID-19 patients. Implementing 3D U-Net models on 3D reconstruction CT scans.

Advisor: Dr. Michael Pazzani

Instructional Assistant

January 2020 - June 2021

La Jolla, CA, United States

DSC 10 - Principles of Data Science (Professor Justin Eldridge, Professor Colin Jemmott)
DSC 80 - The Practice and Application of Data Science (Professor Justin Eldridge)

Undergraduate Research Fellow

December 2019 - December 2020

La Jolla, CA, United States

Reassessment of P2P Credit Risk Modeling with Macroeconomic Factors

Advisor: Professor Aaron Fraenkel

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Undergraduate Research Assistant

San Diego Supercomputer Center

November 2019 - December 2021

San Diego, CA, United States

Blockchain Researcher at BlockLAB Group

Researching scalable decentralized business/industry (healthcare, finance, etc) applications of blockchain through Ethereum & Hyperledger Fabric networks. Developing methods for smart contract auditing and blockchain anomaly detection through machine learning.

Advisor: Dr. Jim Short

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Quantitative Analyst Intern

XLP Capital

March 2021 - September 2021

New York, NY, United States

XLP Capital is a technology venture and investment firm managing multiple funds through extensive quantitative research and development.

Developed novel quantitative and machine learning methods to analyze effects of monetary and fiscal policy on directionality trends in bond prices/interest rates, inflation/exchange rates, and prices of alternative investments including precious metals (gold/silver) and cryptocurrency. Researched and implemented methods in Time-series ML, empirical mode decomposition/HW exponential smoothing, and macroeconomic forecasting/interpolation optimization.

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Quantitative Research Intern

Rebellion Research

September 2020 - March 2021

New York, NY, United States

Rebellion Research is an A.I. hedge fund and investment adviser with global equity and absolute return strategies investing in a diverse pool of assets using Bayesian machine learning.

Analyzed macro and market trends through machine learning and statistical methods. Researched economic impacts of COVID-19 and generated alpha signals. Developed deep learning-based high frequency trading strategies.


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Massachusetts Institute of Technology

Master of Finance - MFin, Financial Engineering

2021 - 2023

Cambirdge, MA, United States

Activities and societies: MIT Sloan Operations Management Research Assistant, Quantitative Finance Club

Financial Engineering Concentration
Business Analytics Certificate

Recepient of the MIT Sloan Operations Management Research Scholarship

President of the Quantitative Finance Club; hosted the 2022 MIT Sloan Quantitative Finance & AI Conference

Thesis: Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulation for Derivatives Pricing and Dynamic Hedging, advised by Professor Leonid Kogan

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University of California, San Diego

Bachelor of Science - BS, Data Science; Minor - Finance

2018 - 2021

La Jolla, CA, United States

Grade: cum laude

Activities and societies: Student Representative, Instructional Assistant, Data Science Student Society, Blockchain Student Associaton, Undergraduate Economics Society, Undergraduate Investment Society

Research: Reassessment of P2P Credit Risk Modeling with Macroeconomic Factors, advised by Professor Aaron Fraenkel

Licneses & Certifications

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Series 57 - Securities Trader


Issued Feburary 2024

CRD#: 7509697

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Securities Industry Essentials (SIE)


Issued Feburary 2024

CRD#: 7509697

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WorldQuant Challenge Silver


Issued August 2022


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Mathematics of Big Data and Machine Learning

Massachusetts Institute of Technology

Issued January 2022


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Quantum Machine Learning


Issued July 2021



Prosperity (IMC Trading)

March 2023

Quant Trading challenge: https://prosperity.imc.com/

Ready Trader Go (Optiver)

March 2023

Quant Trading challenge: https://readytradergo.optiver.com/

Brain (WorldQuant)

August 2022

Quant Trading challenge: https://platform.worldquantbrain.com/

MIT Sloan | Joint Finance Lab (SVPGlobal)

January 2022

Measuring REIT Sensitivity to Interest Rates

MIT Sloan | Joint Proseminar Research (GIC)

September 2021

Modifying the Shiller Cyclically Adjusted P/E

Data for Good Hackathon (JPMorgan Chase & Co.)

June 2021

Traders at Berkeley Competition

May 2021

Quant Trading challenge: https://traders.berkeley.edu/competition.html

Halicioglu Data Science Institute | Data Science Capstone (Viasat)

September 2020

Classifying VPN Traffic Data


Artificial Intelligence (AI), Quantitative Trading, Blockchain, Financial Engineering, Cryptocurrency, Crypto Development, Ethereum, Smart Contracts, Solidity, Python, SQL, C++, Java, R, Statistics, Data Science, Machine Learning, Deep Learning, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, Time Series Analysis, Reinforcement Learning, Data Visualization, Tableau, Quantitative Finance, FinTech, Financial Markets, Financial Analysis, Financial Statement Analysis, Accounting, Investment Management, Financial Modeling, Financial Forecasting, Software Development, Data Structures, Algorithms, Linux/Unix, Git, Hadoop, Big Data Analytics, MongoDB, MySQL, Amazon Web Services (AWS), SageMaker (AWS), Docker, Kubernetes, Qiskit, Quantum Computing, J Language

Honors & Awards

cum laude

Issued by UC San Diego

June 2021

COVID Information Commons Paper Competition - 2nd Place

Issued by Columbia University

May 2021

"Generating Explanations for Chest Medical Scan Pneumonia Predictions"

National Science Foundation REU Scholarship

Issued by National Science Foundation

Feburary 2021

Received NSF REU scholarship to work on computer vision research project to analyze COVID-19 chest X-rays/CTs and detect COVID pneumonia."

Eta Kappa Nu Engineering Honor Society

Issued by Eta Kappa Nu (HKN)

October 2020

Undergraduate Scholarship Program

Issued by Halıcıoğlu Data Science Institute

December 2019

Scholarship program to participate in a research project presented at the end of the year

Provost Honors

Issued by UC San Diego

December 2018

Revelle College Provost Honors in all quarters

National Merit Commended Scholar

Issued by College Board

September 2017

Was one of the top scorers on the PSAT in California

AP National Scholar

Issued by College Board

June 2017


Computer Science, Statistics, Microeconomics, Macroeconomics, Calculus BC, Physics 1, Physics 2, Physics C: Mechanics, Physics C: E/M, US History, US Government/Politics, English Language, English Literature, Chemistry, Chinese

CLTAC Speech Contest - 1st Place

Issued by CLTAC

April 2017

Received 1st place in 42nd Annual CLTAC Chinese Speech Contest


Test Scores


Score: 710

December 2020

Integrated Reasoning: 8
AWA: 6

SAT (2016)

Score: 1540

March 2017

EWR: 750
Math: 790

SAT II Math Level 2

Score: 800

SAT II Physics

Score: 770



Native proficiency

Chinese (Mandarin)

Bilingual proficiency


Quantitative Finance Club - MIT Sloan


September 2021 - December 2022

Hosted the 2022 MIT Sloan Quantitative Finance & AI Conference
https://www.rebellionresearch.com/mit-quant-ai-conference-2022Hosted the 2022 MIT Sloan Quantitative Finance & AI Conference https://www.rebellionresearch.com/mit-quant-ai-conference-2022

BlockLAB - San Diego Supercomputer Center

Blockchain Research Assistant

December 2019 - December 2021

Eta Kappa Nu Honor Society (HKN)


June 2021 - July 2021



June 2021 - July 2021

Undergraduate Economics Society - UC San Diego

VP of Technology

September 2018 - June 2020

Let’s collaborate!