Available to hire
Hi there! I’m Kevin Burge, a senior research scientist with a Ph.D. in mathematics and computational science specializing in numerical methods, mathematical physics, and high-performance computing. My recent work focuses on solving complex PDEs in quantum field theory and developing scalable computational tools, with a track record of publications and NSF-funded projects.
I’m passionate about interdisciplinary collaboration and translating theory into practical algorithms for applied mathematics, computational physics, and data science. I’m seeking senior roles where I can lead ambitious research, mentor students, and contribute to cross-disciplinary teams bridging mathematics and physics.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Spanish; Castilian
Intermediate
Work Experience
Postdoctoral Research Fellow at Yale University, Department of Applied Mathematics
January 1, 2024 - November 10, 2025Conducted advanced computational research in quantum field theory applications, developed novel numerical algorithms for nonlinear PDEs, and collaborated with international teams. Supervised 3 Ph.D. students and mentored 5+ Master's students in computational mathematics. Published 8 peer-reviewed papers within 6 months of appointment. Served as principal investigator on a $180,000 NSF research grant in computational mathematics.
Graduate Research Assistant at Yale University
January 1, 2024 - January 1, 2024Conducted Ph.D. research on mathematical modeling of quantum systems; developed and implemented advanced computational algorithms for PDE solutions; collaborated with theoretical physics group on quantum field theory problems; teaching assistant for graduate-level courses; presented findings at 12+ international conferences; co-authored 15 research papers with total citations exceeding 200.
Senior Data Scientist & Mathematical Consultant at IBM Research, Yorktown Heights, NY
January 1, 2021 - January 1, 2021Led mathematical modeling initiatives for quantum computing algorithms and optimization; developed predictive algorithms using advanced statistical methods and machine learning; managed cross-functional teams of 6+ data scientists and software engineers; delivered $3.2M+ revenue projects; implemented scalable numerical computing solutions reducing computational time by 65%; specialized in quantum error correction using advanced mathematical frameworks.
Quantitative Research Analyst at Goldman Sachs
January 1, 2020 - January 1, 2020Developed mathematical models for derivatives pricing and risk management; implemented Monte Carlo simulations and stochastic calculus models for trading algorithms; created automated trading strategies based on PDEs and statistical arbitrage; performed stress testing and scenario analysis for regulatory compliance; built real-time risk monitoring systems processing $50M+ daily trading volume; achieved 20% improvement in VaR model accuracy.
Research Intern at Los Alamos National Laboratory
January 1, 2019 - January 1, 2019Applied mathematical modeling to high-energy physics simulations and nuclear processes; developed numerical solutions for complex multi-physics problems using finite element methods; used advanced statistical methods to analyze large-scale scientific computing datasets; presented findings at APS annual meeting; co-authored 3 papers in computational physics journals.
Mathematics Tutor & Curriculum Developer at Kumon Learning Centers
January 1, 2020 - January 1, 2020Taught advanced mathematics to high school and college-level students; developed innovative curriculum for calculus, differential equations, and linear algebra; maintained high success rates; created study materials and problem-solving methodologies; trained junior tutors.
Freelance Mathematical Consultant at Independent Consulting Practice
January 1, 2018 - November 10, 2025Provide specialized mathematical consulting services to Fortune 500 companies and research institutions; expertise in numerical analysis, optimization, machine learning, and computational modeling; served aerospace, finance, and technology clients; developed custom mathematical software solutions; generated $85,000+ annual revenue and maintained long-term contracts with 20+ regular clients.
Senior Data Scientist & Mathematical Consultant at IBM Research
January 1, 2021 - January 1, 2021Led mathematical modeling for quantum computing algorithms and optimization; developed predictive analytics using advanced statistical methods and machine learning; managed cross-functional teams; delivered revenue-generating projects; implemented scalable numerical computing reducing compute time.
Research Intern at Los Alamos National Laboratory
August 31, 2019 - August 31, 2019Applied mathematical modeling to high-energy physics simulations and nuclear processes; developed numerical solutions for multi-physics problems; co-authored papers and presented findings at conferences.
Quantitative Research Analyst at Goldman Sachs, New York, NY
January 1, 2020 - January 1, 2020Developed models for derivatives pricing and risk management; implemented Monte Carlo simulations and stochastic calculus for trading algorithms; created automated trading strategies based on PDEs and statistical arbitrage; performed stress testing and scenario analysis; built real-time risk monitoring systems; contributed to a 20% improvement in VaR model accuracy.
Research Intern at Los Alamos National Laboratory, Computational Physics & Applied Mathematics Division
August 31, 2019 - August 31, 2019Applied mathematical modeling to high-energy physics simulations and nuclear processes; developed numerical solutions for complex multi-physics problems using finite element methods; utilized advanced statistical methods to analyze large-scale scientific datasets; presented research findings at the American Physical Society annual meeting; co-authored several papers.
Education
Ph.D. in Mathematics and Computational Sciences at Yale University
January 11, 2030 - January 1, 2024Master of Science in Applied Mathematics at Massachusetts Institute of Technology
January 11, 2030 - January 1, 2021Bachelor of Science in Mathematics & Physics at University of Connecticut
January 11, 2030 - January 1, 2020Diploma in Computer Science & Software Engineering at Connecticut Community College System
January 11, 2030 - January 1, 2019High School Diploma at West Hartford High School
January 11, 2030 - January 1, 2017PhD in Mathematics and Computational Sciences at Yale University
January 1, 2020 - January 1, 2024Master of Science in Applied Mathematics at Massachusetts Institute of Technology
January 1, 2019 - January 1, 2021Bachelor of Science in Mathematics & Physics at University of Connecticut
January 1, 2017 - January 1, 2020Diploma in Computer Science & Software Engineering at Connecticut Community College System
January 1, 2018 - January 1, 2019High School Diploma at West Hartford High School
January 1, 2015 - January 1, 2017Ph.D. in Mathematics and Computational Sciences at Yale University
January 11, 2030 - January 1, 2024Master of Science in Applied Mathematics at MIT
January 11, 2030 - January 1, 2021Bachelor of Science in Mathematics & Physics at University of Connecticut
January 1, 2017 - January 1, 2020Diploma in Computer Science & Software Engineering at Connecticut Community College System
January 11, 2030 - January 1, 2019High School Diploma at West Hartford High School
January 11, 2030 - January 1, 2017Qualifications
Advanced Python for Scientific Computing
January 1, 2024 - November 10, 2025Mathematical Methods in Physics - Elite Grade (NPTEL)
January 1, 2023 - November 10, 2025Introduction to Quantum Computing (IBM Qiskit Global Summer School)
January 1, 2023 - November 10, 2025NPTEL Elite Grade Certificate in Mathematical Methods in Physics
January 1, 2023 - November 10, 2025Diploma in Advanced Python Programming and Data Structures
January 1, 2019 - November 10, 2025Advanced Python for Scientific Computing
January 1, 2024 - December 31, 2024Mathematical Methods in Physics
January 1, 2023 - December 31, 2023Introduction to Quantum Computing
June 1, 2023 - June 15, 2023Advanced Python for Scientific Computing
January 1, 2024 - November 10, 2025Mathematical Methods in Physics
January 1, 2023 - November 10, 2025Introduction to Quantum Computing
January 1, 2023 - November 10, 2025Industry Experience
Software & Internet, Education, Professional Services, Media & Entertainment, Other, Government
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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