Jonathan Wen Email
Applied Machine Learning Scientist Intern @ StackAdapt
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Jonathan Wen Location
- Toronto, ON, CA
Jonathan Wen Work
- Applied Machine Learning Scientist Intern @ (May 2026 - Present)
- ML Researcher @ (April 2025 - May 2026)
- Researcher - Deep Learning in Mathematical Finance @ (October 2024 - April 2025)
- Quant Trading Analyst @ (May 2023 - August 2024)
- Software Engineering Intern @ (May 2022 - September 2022)
Jonathan Wen Education
- University of Toronto
Bachelor of Applied Science - BASc with High Honours (Computer Engineering)
2020-2025 - Holy Names High School
Grade12 (all sciences, acc and finance, ecnomics,)
2019-2020
Jonathan Wen Skills
- Algorithms
- C (Programming Language)
- C++
- Career Management
- Constructive Feedback
- Database Management System (DBMS)
- Deep Learning
- High-Frequency Trading
- Implied Vol Surface
- Interpersonal Skills
- KDB+
- Leadership
- Machine Learning
- Mathematical Finance
- Microsoft PowerPoint
- Natural Language Processing (NLP)
- Neural Networks
- Personal Branding
- Professional Skills
- Programming
- Project Management
- Public Speaking
- PyTorch
- Python (Programming Language)
- Pythoon
- REST APIs
- Stochastic Calculus
- Stochastic Modelling
- Stock Option
- Team Building
- Transformer
- Tutoring
- Verilog
- Web Scraping
- cython
- equity market making
- ielts7（R8.5）
- pubilc speaking
- 公开演讲
- 教学
- 活动策划
- 演讲技能
- 顾客服务
- 领导力
Jonathan Wen Summary
- Jonathan Wen, based in Toronto, ON, CA, is currently a Applied Machine Learning Scientist Intern at StackAdapt. Jonathan Wen brings experience from previous roles at Stanford University, University of Toronto Department of Statistical Sciences, RBC Capital Markets and University of Toronto - Rotman School of Management. Jonathan Wen holds a 2020 - 2025 Bachelor of Applied Science - BASc with High Honours in Computer Engineering @ University of Toronto. With a robust skill set that includes Algorithms, C (Programming Language), C++, Career Management, Constructive Feedback and more. Jonathan Wen has 1 emails on RocketReach.
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