Mathematical AI/ML Researcher for Finance, Trading, and Social Science
I’m a Mathematician and Machine Learning Engineer with a Ph.D. in Applied Mathematics from the Université de Montréal. Over the past decade, I’ve combined rigorous academic research with hands-on engineering to solve challenges in finance, predictive analytics, computer vision, and more. My experience includes leading full-stack development teams, building real-time ML pipelines, and bridging theory with practice to produce high-impact, data-driven solutions.
My current research focuses on reinforcement learning and foundation LLM model tuning, among other core ML methods. I’m driven by the idea that a deep understanding of both theory and real-world constraints produces the most effective, elegant outcomes. Whether optimizing risk models for algorithmic trading or developing new architectures for conversational AI, I aim to create solutions that are innovative, robust, and practical.
Google Scholar - https://scholar.google.ca/citations?user=tcfoASYAAAAJ&hl=en
GitHub - https://github.com/jefferythewind
Stack Overflow - https://stackoverflow.com/users/959306/jeffery-the-wind
I enjoy collaborating on ambitious projects and always welcome opportunities to push the boundaries of AI/ML research and development. Let’s connect and see how we can build the future together!
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Allora Labs · Contract Full-time
{"0":{"type":"textComponent","text":"● Design and implement quantitative models to evaluate and predict financial market dynamics. ● Design and implement agentic portfolio management strategies ● Support the design and simulation of tokenomics models, reputation systems, and decentralized governance structures. ● Conduct A/B testing and causal inference to evaluate experimental systems and protocol changes. ● Develop dashboards, data pipelines, and reporting tools for internal stakeholders and community transparency. ● Explore novel intersections between cryptoeconomic primitives and machine learning optimization."},"1":{"type":"textComponent","text":"Skills: Machine Learning · Artificial Intelligence (AI) · Quantitative Finance · Scientific Computing · Cryptocurrency"},"2":{"type":"mediaComponent","text":"newsun.png","thumbnail":"https://media.licdn.com/dms/image/v2/D4E2DAQEK3ufkPOSIFQ/profile-treasury-image-shrink_8192_8192/B4EZgXOBkZHgAo-/0/1752736213243?e=1756663200&v=beta&t=3lvWwn1jXFNuwB-fclqh-H5VIsGKi77WCnL_XFaGZCE"}}
{"0":{"type":"textComponent","text":"I was recruited to work on data science and mathematical finance task at Numerai. I worked with the chief scientist and CEO on critical research projects and risk management tools. During my time there I researched the popular stochastic discount factor deep learning model by Luyang Chen, Markus Pelger, and Jason Zhu. I developed a custom risk system. I researched new learning algorithms by modifying the gradient boosted decision tree framework, in a new paper by myself called, Era Splitting."},"1":{"type":"textComponent","text":"Skills: Academic Research · Financial Technology · Time Series Forecasting · Data Science · Quantitative Finance · Asset Management · Data Modeling · Financial Modeling · Mathematics · Machine Learning · Predictive Modeling · Software Development · TensorFlow · Python · Programming Languages · Cluster Analysis · Investment Management · Predictive Analytics · Data Pipelines · Computer Science · Applied Machine Learning · Deep Learning · Artificial Intelligence (AI) · Amazon Web Services (AWS) · Quantitative Research · Algorithmic Trading · Trading Strategies · AWS Lambda · Quantitative Analytics · Systems Design · Intelligent Systems"}}
{"0":{"type":"textComponent","text":"Develop and deploy machine learning-based systems to process data, generate signals, and trade in real time in the global futures markets. Full stack infrastructure designed and built from ground up including hardware. Collaborated with other researchers, led discussions, and produced several academic papers."},"1":{"type":"textComponent","text":"Skills: Academic Research · Financial Technology · Linux · C# · Time Series Forecasting · Teamwork · Asset Management · Data Modeling · Machine Learning · Predictive Modeling · Software Development · Team Leadership · TensorFlow · Python · Statistical Modeling · Programming Languages · Investment Management · Predictive Analytics · Data Pipelines · Computer Science · Applied Machine Learning · Deep Learning · Artificial Intelligence (AI) · Quantitative Research · Algorithmic Trading · Trading Strategies · Quantitative Analytics · Systems Design · Research Skills · Mathematical Modeling · Intelligent Systems"}}
{"0":{"type":"textComponent","text":"I worked with the oversight and surveillance group on developing automated, machine learning - based processes for improvement the oversight system. I worked on research in the field on anomaly detection and created customer neural network architectures to implement a semi-supervised anomaly detection system, which could extend the unsupervised system that they had developed already. I share results in my paper: Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market. https://arxiv.org/abs/2309.00088"},"1":{"type":"textComponent","text":"Skills: Academic Research · Financial Technology · Deep Neural Networks (DNN) · Time Series Forecasting · Computer Programming · Data Modeling · Neural Networks · Financial Modeling · Predictive Modeling · Software Development · TensorFlow · Artificial Neural Networks · Anomaly Detection · Programming Languages · Predictive Analytics · Computer Science · Applied Machine Learning · Unsupervised Learning · Deep Learning · Quantitative Research · Trading Strategies · Quantitative Analytics · Systems Design · Financial Markets"}}
{"0":{"type":"textComponent","text":"As part of the department of applied math and statistics, this is a highly mathematical degree which emphasizes financial application. Great faculty, great students."},"1":{"type":"textComponent","text":"Skills: Academic Research · Financial Technology · Time Series Forecasting · Asset Management · Data Modeling · Predictive Modeling · Software Development · Programming Languages · Investment Management · Predictive Analytics · Applied Machine Learning · Quantitative Research · Algorithmic Trading · Trading Strategies · Quantitative Analytics · Systems Design · Intelligent Systems"}}
Mini Graphics, Inc. · Permanent Part-time
{"0":{"type":"textComponent","text":"Development, implementation, and maintinance of new databasing computer systems that require both\nfront and back-end development and support using Microsoft VB.Net, Oracle MySQL database, Python, PHP, HTML, Javascript, Linux and more. Version control and backup plans implemented. Data analysis and business insight repeorts to the management team."},"1":{"type":"textComponent","text":"Skills: Time Series Forecasting · Automation · Data Modeling · Knowledge Engineering · Predictive Modeling · Software Development · Programming Languages · SQL · Data Pipelines · Computer Science · Python (Programming Language) · Applied Machine Learning · MySQL · Database Administration · PostgreSQL · Quantitative Analytics · Systems Design"}}
{"0":{"type":"textComponent","text":"Freelance style position, minimum 100 trades per day in the NYSE."},"1":{"type":"textComponent","text":"Skills: Time Series Forecasting · Algorithmic Trading"}}
Kunming Globe-trotter Travel Consulting Company
{"0":{"type":"textComponent","text":"Help run classes for the sales staff, and sales presentations. I introduced the aspects and benefits of timeshare vacation packages that we sold. Use Chinese language exclusively for these sales presentations."}}
Yunnan Sincere Sino Int'l Affairs Corp
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{"0":{"type":"textComponent","text":"Interests\nRobotics, financial markets/microstructure, control theory, systems development, signal processing for understanding\nmarket price processes, main ideas, social networking, the big picture, multiculturalism, and Traditional Chinese culture."}}

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