Melissa D.
Postdoctoral Research Fellow
Experience
Jul 2023 - Present
2 years 5 monthsUnited States
Postdoctoral Research Fellow
Princeton University
- Lead interdisciplinary research combining quantum computing, machine learning, and condensed matter physics
- Developed evaluation frameworks for testing AI model performance on quantum mechanics problems
- Published 8 peer-reviewed articles in top-tier journals (Nature Physics, Physical Review Letters)
- Mentored 4 graduate students in computational physics and machine learning applications
Jan 2022 - Dec 2023
2 yearsAI Model Evaluation Framework for STEM Problems
- Designed comprehensive benchmarking suite for testing LLM performance on undergraduate through PhD-level physics and mathematics problems
- Created 500+ original problems with step-by-step solutions and detailed reasoning explanations
- Developed automated scoring systems for evaluating multi-step reasoning and symbolic manipulation
- Framework adopted by 3 major AI research laboratories for model evaluation
Jan 2020 - Dec 2022
3 yearsEducational Content Development
- Created interactive simulations and visualizations for complex quantum mechanics concepts
- Developed curriculum materials used in Caltech's graduate-level computational physics courses
- Simplified advanced STEM concepts for undergraduate students, achieving 95% comprehension rates in evaluations
Sep 2019 - Jun 2023
3 years 10 monthsUnited States
Research Assistant
Stanford University
- Designed novel algorithms for solving complex STEM problems using machine learning approaches
- Created comprehensive benchmarks for evaluating AI performance on multi-step physics reasoning
- Collaborated with interdisciplinary teams including computer scientists, mathematicians, and physicists
- Presented research at 12+ international conferences and workshops
Jan 2018 - Present
7 years 11 monthsOpen-Source Scientific Software Contributions
- Lead contributor to QuantumLeap: open-source quantum simulation library (2000+ GitHub stars)
- Developed educational modules for explaining quantum computing concepts to non-specialists
- Created documentation and tutorials used by 5000+ students and researchers worldwide
Sep 2017 - Jun 2019
1 year 10 monthsUnited States
Graduate Research Assistant
MIT Computer Science and Artificial Intelligence Laboratory
- Developed optimization algorithms for large-scale scientific computing applications
- Created educational frameworks for explaining complex mathematical concepts to diverse audiences
- Contributed to open-source scientific computing libraries used by 1000+ researchers globally
Languages
English
NativeFrench
IntermediateEducation
Sep 2019 - Jun 2023
Stanford University
Ph.D. · Computational Physics · Stanford, United States · 3.8/4.0
Sep 2017 - Jun 2019
Massachusetts Institute of Technology
M.S. · Applied Mathematics · Cambridge, United States · 3.9/4.0
Sep 2013 - May 2017
University of California, Berkeley
B.S. · Physics · Berkeley, United States · 3.95/4.0
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