Alex Papanicolaou
Lead Quant AI ML at Solve Fixed Income
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAlex Papanicolaou is a Lead Quant AI/ML based in the San Francisco Bay Area with 11 years of experience applying data science and machine learning to production-grade financial systems. He has led technology and data science teams from early-stage startups to a Stanford spinoff, building explainable deep learning and high-performance computing pipelines for mortgage and fixed-income markets. Alex combines a PhD in Computational and Mathematical Engineering with hands-on quant development, risk modeling, and real-time analytics, translating academic research into scalable products. Notably, he has held dual CTO and Chief Data Scientist roles at infima, demonstrating both technical leadership and domain expertise in the $15 trillion mortgage sector. His background includes market microstructure work and signal-processing approaches to trading analytics, giving him an unusually broad toolkit across research, engineering, and product.
11 years of coding experience
12 years of employment as a software developer
University of California, Los AngelesPh.D, Computational and Mathematical Engineering, Ph.D, Computational and Mathematical Engineering at Stanford University
Github Skills (106)
python10
automation10
mlops10
orchestration10
scientific-computing10
sublime-text10
scikit10
statistics10
scheduler10
scipy10
monitor10
data-science10
apache10
data-analysis10
algorithms10
Programming languages (6)
Github contributions (5)
apapanico/LS88
Feb 2018 - May 2018
Contributions:168 commits, 137 pushes, 1 branch in 2 months
ds-modules/SPORTS
Nov 2017 - Dec 2017
Contributions:25 commits, 22 pushes in 1 month
sportsjavascriptnodejsmongodb
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