Scott Shaffer
Strategic Advisor
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolScott Shaffer is a strategic advisor and quantitative scientist with two decades of experience building mathematical models and production software for finance, biology, and polymer physics. He has led the development of portfolio optimization, risk, and transaction-cost models at firms from Barclays and SAC to Talos and Sphere, and earlier created enduring simulation frameworks in polymer dynamics and immunological modeling during academic appointments at USC, MIT, and Stanford. Scott combines deep theoretical training (PhD, UC Berkeley) with hands-on engineering—implementing scalable, parallel compute infrastructures and mixed-integer optimization libraries used to manage billions in assets. He now focuses on open-source scientific software for fundamental problems in polymer physics while advising on climate-aligned investment strategies, a blend of academic rigor and practical deployment that’s rare in both research and asset management.
8 years of coding experience
15 years of employment as a software developer
PhD, Chemical Engineering, PhD, Chemical Engineering at University of California, BerkeleyBS, Chemical Engineering, BS, Chemical Engineering at Carnegie Mellon University
Github Skills (20)
solver10
model-predictive-control10
optimization-methods9
constrained-optimization9
java9
svm9
convex-optimization9
virtual-machine9
numerical-optimization9
optimization9
quadratic-programming9
vehicle-routing-problem8
mixed-integer-programming8
analytics7
machine-learning7
Programming languages (2)
Github contributions (5)
tipplerow/d3x-morpheus
Jan 2021 - Jul 2024
An Advanced Data Analytics Library for the Java Virtual Machine
Contributions:186 pushes, 40 branches in 3 years 6 months
data-analyticsanalyticsvirtual-machinebig-datajava-virtual-machine
tipplerow/pepmhc
Jan 2019 - Sep 2020
Contributions:117 pushes, 1 branch in 1 year 7 months
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