Jack Dippel
Waterloo,ON
Summary
Accomplished Postdoctoral Researcher at Toronto Metropolitan University with a strong foundation in Graph Theory and Probability. Demonstrated leadership and problem-solving skills through innovative research, resulting in 2 peer-reviewed publications. Proficient in Python and MATLAB, with a proven ability to collaborate effectively and present findings at prestigious conferences.
Overview
10
10
years of professional experience
12
12
years of post-secondary education
Work History
Postdoctoral Researcher
Toronto Metropolitan University
Toronto
05.2024 - 09.2024
- Postdoctoral Researcher with expertise in Graph Theory, Numerical Analysis, and Probability.
- Proven ability to conduct independent and collaborative research, resulting in 2 peer-reviewed publications in high-impact journals such as Artificial Intelligence Journal (AIJ) and Journal of Artificial Intelligence Research (JAIR).
- Developed and implemented novel mathematical models and methodologies to address complex problems in random graph coloring.
- Presented research findings at national and international conferences, including the Association for the Advancement of Artificial Intelligence (AAAI).
- Proficient in mathematical software and programming languages including MATLAB, Python, LaTeX.
Research Assistant
McGill University
Montreal
09.2019 - 05.2024
- Conducted independent and collaborative research in network games, contributing to the advancement of game theory and Machine Learning.
- Designed and executed simulations and data analysis under the guidance of Adrian Vetta.
- Analyzed large datasets using statistical software and programming languages such as Python and MATLAB, extracting meaningful insights.
- Developed and implemented new algorithms to address research questions and achieve project objectives.
- Contributed to the writing and preparation of 8 peer-reviewed publications and conference presentations.
Data Analyst
National University of Singapore
Singapore
01.2015 - 04.2015
- Extracted, cleaned, and transformed large datasets from diverse sources (e.g., SQL databases, CSV files, APIs) to prepare data for analysis.
- Utilized data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to create compelling dashboards and reports for stakeholders.
- Proficient in SQL for querying and manipulating relational databases (e.g., PostgreSQL, MySQL, SQL Server).
- Experienced in programming languages commonly used for data analysis, such as Python (with libraries like Pandas, NumPy, Scikit learn).
- Familiar with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud).
Education
Doctor of Philosophy - PhD - Mathematics
McGill University
Montreal 09.2019 - 04.2024
Master's degree - Mathematics
University of Waterloo
Waterloo 01.2017 - 04.2019
Bachelor's degree - Mathematics
University of Waterloo
Waterloo 09.2011 - 12.2016
Skills
- Innovation and creativity
- Teaching experience
- Leadership
- Problem solving
- Teamwork
- Computer programming
Timeline
Postdoctoral Researcher
Toronto Metropolitan University
05.2024 - 09.2024
Doctor of Philosophy - PhD - Mathematics
McGill University
09.2019 - 04.2024
Research Assistant
McGill University
09.2019 - 05.2024
Master's degree - Mathematics
University of Waterloo
01.2017 - 04.2019
Data Analyst
National University of Singapore
01.2015 - 04.2015
Bachelor's degree - Mathematics
University of Waterloo
09.2011 - 12.2016
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