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CTO, Co-Founder at Alpha Features
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Massachusetts Institute of Technology
Doctor of Philosophy (PhD), Electrical Engineering and Computer Science
January 1, 2007 – January 1, 2012
Yale University
Master of Science (MS), Computer Science
January 1, 2005 – January 1, 2007
École Polytechnique
Certificate, Computer Science
January 1, 2004 – January 1, 2005
Karlsruhe Institute of Technology (KIT)
Vordiplom, Computer Science
January 1, 2002 – January 1, 2004
Alpha Features
CTO, Co-Founder
March 1, 2017 – Present
Cambridge, MA
33X LLC
Robotics and Machine Learning Consultant, Co-Founder
August 1, 2016 – Present
Cambridge, MA
Proprietary Trading Startup
Market Scientist
January 1, 2015 – August 1, 2016
NK Labs
Software / Hardware Engineering Consultant
September 1, 2014 – December 1, 2014
Google [x]
Software Engineer
May 1, 2014 – August 1, 2014
Massachusetts Institute of Technology (MIT)
Research Scientist
October 1, 2013 – December 1, 2014
Massachusetts Institute of Technology (MIT)
Postdoctoral Associate
December 1, 2012 – September 1, 2013
Massachusetts Institute of Technology (MIT)
Teaching Assistant
September 1, 2011 – December 1, 2011
Rethink Robotics
Controls Engineering Intern
May 1, 2011 – August 1, 2011
Massachusetts Institute of Technology (MIT)
Research Assistant
August 1, 2007 – December 1, 2012
Yale University
Teaching Assistant
September 1, 2006 – May 1, 2007
Yale University
Research Assistant
August 1, 2005 – July 1, 2007
INRIA
Research Intern
April 1, 2005 – July 1, 2005
Karlsruhe Institute of Technology (KIT) / University of Karlsruhe (TH)
Research Assistant
October 1, 2003 – September 1, 2004
Cultural Fit Analysis
The candidate's background is heavily skewed towards research, academia, and startup leadership in highly technical fields (robotics, machine learning, quantitative trading). While this demonstrates intellectual rigor and innovation, the direct alignment with a 'Data Analyst' role, which often requires strong business acumen, data visualization, and stakeholder communication, is not explicitly evident from the provided data. The lack of detailed project descriptions makes it hard to assess their practical application of data analysis in a business context. The candidate's profile suggests a preference for cutting-edge R&D and leadership, which might not perfectly align with a typical Data Analyst role's day-to-day responsibilities.
Soft Skills & Operational Fit
The candidate's extensive academic and entrepreneurial background suggests strong problem-solving, analytical thinking, and leadership skills. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess operational fit, teamwork, and communication in a collaborative work environment.