Co-Founder & CTO @ Variational AI | PhD, Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have over 18 years of experience developing novel generative machine learning algorithms for unconventional domains, focused in recent years on drug discovery. As co-founder and CTO of Variational AI, I lead a team of talented machine learning researchers and cheminformaticians who use state-of-the-art machine learning to rapidly generate novel and diverse compounds that are optimized for potency, selectivity, ADME, and toxicity against kinase targets.
Caltech
Doctor of Philosophy (Ph.D.), Computation and Neural Systems
January 1, 2003 – January 1, 2011
Massachusetts Institute of Technology
Bachelor of Science (BS), Mathematics
January 1, 1999 – January 1, 2003
Variational AI
Co-Founder & Chief Technology Officer
January 1, 2020 – Present
Vancouver, Canada Area
D-Wave Systems Inc.
Principal Machine Learning Researcher
August 1, 2017 – January 1, 2020
D-Wave Systems Inc.
Machine Learning Researcher
July 1, 2013 – August 1, 2017
New York University
Postdoctoral Researcher in Machine Learning, LeCun Lab
July 1, 2011 – July 1, 2013
New York, NY
ETH Zürich
Graduate Student, Institute for Neuroinformatics, Cook Lab
February 1, 2006 – July 1, 2011
Zurich, Switzerland
California Institute of Technology
Graduate Student, Siapas Lab
September 1, 2003 – February 1, 2006
Pasadena, CA
MIT
Undergraduate Researcher, Sussman Lab
June 1, 2001 – May 1, 2003
Cambridge, MA
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced research, machine learning, deep learning, and quantum computing, primarily in academic and R&D-intensive environments. While this demonstrates intellectual rigor and innovation, the target role of 'Data Analyst' might not fully leverage their extensive expertise. The diversity of projects is high within the ML/AI domain (cheminformatics, industrial control, epidemiology), but the direct alignment with a standard 'Data Analyst' role is limited. Their experience as a CTO and Principal Researcher suggests a preference for leadership and cutting-edge research, which may not align with the typical responsibilities of a Data Analyst role. This could lead to a potential cultural mismatch if the role does not offer sufficient intellectual challenge or opportunities for advanced research and development.
Soft Skills & Operational Fit
The candidate's extensive experience as a Co-Founder & CTO and Principal Machine Learning Researcher indicates strong leadership, problem-solving, and strategic thinking abilities. Their history of supervising teams and managing collaborations suggests excellent interpersonal and team collaboration skills. The descriptions of their work imply a high degree of autonomy and initiative, which are valuable for senior roles. However, the target role is 'Data Analyst', which might be a mismatch for someone with such a strong research and leadership background in advanced ML/AI. While data analysis is a component of ML, the depth of their experience far exceeds typical data analyst requirements, potentially indicating an overqualification or a desire to shift focus.