Vilmah A.

Senior Principal Research Scientist & Team Lead

Orangeburg, United States

Experience

Jan 2020 - Present
5 years 11 months

Senior Principal Research Scientist & Team Lead

Google Research

  • Team Size: 12 researchers and engineers across 3 time zones
  • Budget Responsibility: $8M annual research budget
  • Led breakthrough research in quantum-classical hybrid algorithms, resulting in 15% improvement in optimization performance for NP-hard problems
  • Developed novel federated learning frameworks adopted by 5+ Google products with 100M+ users
  • Mentored 8 junior researchers, with 6 receiving promotions and 2 winning company-wide research awards
  • Collaborated with DeepMind on reinforcement learning applications, co-authoring 3 Nature papers
  • Key Technologies: TensorFlow, JAX, Quantum Computing, Distributed Systems
  • Impact: 3 patents filed, 2 approved; $15M in potential licensing revenue
Jan 2020 - Present
5 years 11 months
Cambridge, United States

Research Collaborator

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

Jun 2019 - Aug 2019
3 months
Zürich, Switzerland

Visiting Professor

ETH Zurich

  • Department: Computer Science
  • Course: Advanced Topics in Computational Mathematics
  • Students: 25 graduate students
  • Delivered lectures on cutting-edge optimization algorithms
  • Established ongoing research collaboration with Swiss computational mathematics group
Jan 2019 - Dec 2019
1 year
Oxford, United Kingdom

Research Collaborator

Oxford Mathematical Institute

Jan 2018 - Dec 2020
3 years

Staff Applied Scientist

Microsoft Research

  • Large-scale optimization for Azure cloud resource allocation
  • Designed and implemented mathematical models reducing Azure infrastructure costs by $50M annually
  • Led cross-functional team of 15 members including mathematicians, engineers, and product managers
  • Developed real-time optimization algorithms handling 10M+ decision variables
  • Published 6 papers in top-tier venues (ICML, NeurIPS, INFORMS)
  • Technologies: Azure, C++, Python, Mixed-Integer Programming, Reinforcement Learning
Jan 2017 - Dec 2020
4 years
Berkeley, United States

Adjunct Professor

University of California, Berkeley

  • Department: Mathematics & Computer Science
  • Taught MATH 221: Advanced Numerical Analysis (Fall 2019, 2020)
  • Taught CS 189: Introduction to Machine Learning (Spring 2018, 2019)
  • Taught MATH 270: Optimization Theory (Fall 2017, 2018)
  • Teaching Rating: 4.8/5.0 average across all courses
  • Innovation: Developed interactive computational notebooks adopted by 3 other universities
Jan 2015 - Dec 2018
4 years

Senior Research Mathematician

IBM Research

  • Focus Areas: Quantum computing, cryptography, and blockchain mathematics
  • Contributed to IBM's quantum computing roadmap through novel error correction algorithms
  • Developed post-quantum cryptographic protocols for IBM's security products
  • Led mathematical modeling for blockchain consensus mechanisms
  • Secured $1.2M NSF grant for quantum algorithm research
  • Achievements: 8 publications, 12 conference presentations, 2 patents
Jan 2015 - Dec 2016
2 years

Postdoctoral Research Fellow

Stanford University

  • Research: Multiscale modeling and simulation of complex systems
  • Developed novel numerical methods for solving partial differential equations on adaptive meshes
  • Collaborated with engineering faculty on climate modeling applications
  • Output: 4 journal publications, 1 book chapter
Jun 2014 - Aug 2014
3 months

Software Engineering Intern

Netflix

  • Team: Machine Learning Infrastructure
  • Built recommendation algorithm improvements serving 50M+ users
  • Implemented A/B testing framework for algorithm evaluation
  • Impact: 3% improvement in user engagement metrics
Jun 2013 - Aug 2013
3 months

Research Intern

Bell Labs

  • Network optimization for 5G wireless systems
  • Developed mathematical models for signal processing in massive MIMO systems
  • Contribution: Algorithm adopted in commercial 5G base station products
Jan 2011 - Dec 2015
5 years

Graduate Research Assistant

Stanford University

  • Teaching Load: 4 courses (Linear Algebra, Calculus, Discrete Math, Numerical Analysis)
  • Developed and maintained computational software used by 200+ students annually
  • Research Funding: $400K NSF graduate fellowship
  • Publications: 6 peer-reviewed papers as primary author

Summary

Distinguished mathematics and computer science professional with 15+ years of experience spanning academic research, industry applications, and leadership roles.

Expertise in advanced mathematical modeling, machine learning, computational algorithms, and large-scale data analysis.

Published 25+ peer-reviewed papers with 500+ citations (h-index: 12).

Led cross-functional teams of 20+ researchers and engineers.

Secured $2.5M+ in research funding.

Proven track record in translating complex mathematical concepts into practical solutions for Fortune 500 companies.

Seeking senior leadership role in [specific industry/research area] to drive innovation and strategic mathematical/computational initiatives.

Languages

English
Native

Education

Oct 2015 - Jun 2015

Stanford University

Ph.D. in Applied Mathematics, Computer Science minor · Applied Mathematics, Computer Science · United States

Oct 2011 - Jun 2011

MIT

M.S. in Computer Science · Computer Science · United States

Oct 2009 - Jun 2009

UC Berkeley

B.S. in Mathematics · Mathematics and Computer Science · United States

Certifications & licenses

AWS Certified Solutions Architect

Amazon Web Services

Deep Learning Specialization

Coursera/Stanford

Project Management Professional (PMP)

PMI

Advanced Statistical Methods

Summer Institute, Harvard

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