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Assistant Professor at the University of Pennsylvania
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Zurich
Doctor of Philosophy - PhD, Computer Science
February 1, 2017 – July 1, 2021
ETH Zürich
Master's degree, Mechatronics, Robotics, and Automation Engineering
January 1, 2014 – January 1, 2016
University of Rome Tor Vergata
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering
January 1, 2011 – January 1, 2014
University of Pennsylvania
Assistant Professor
August 1, 2024 – Present
Philadelphia, Pennsylvania, United States
University of California, Berkeley
Postdoctoral Scholar
November 1, 2021 – June 1, 2024
Berkeley, California, United States
University of Zurich
Postdoctoral Scholar
May 1, 2021 – October 1, 2021
University of California, Los Angeles
Visiting PHD Student
April 1, 2018 – November 1, 2018
Greater Los Angeles Area
University of Zurich
PHD Student in Deep Learning
February 1, 2017 – May 1, 2021
Semeion
Research Intern
September 1, 2016 – January 1, 2017
Rome Area, Italy
Master Thesis Student
February 1, 2016 – September 1, 2016
Zürich Area, Switzerland
ETH Zurich
Teaching Assistant
September 1, 2015 – February 1, 2016
Zürich Area, Switzerland
CENAM
Research Intern
June 1, 2015 – July 1, 2015
Querétaro Area, Mexico
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with roles primarily in universities and research institutions. While this demonstrates intellectual curiosity and a drive for innovation, the transition to a corporate data analyst role might require adaptation to different work cultures, priorities, and project delivery methodologies. The target role 'Data Analyst' is somewhat broad given the candidate's deep research in ML/Deep Learning; a more specialized role like 'Machine Learning Engineer' or 'Research Scientist' might be a closer fit culturally and technically.
Soft Skills & Operational Fit
The candidate's academic and research background suggests strong analytical thinking, problem-solving, and independent research capabilities. Experience as a Teaching Assistant implies good communication and mentoring skills. However, direct experience in a corporate data analyst role is not explicitly detailed, which might impact operational fit in a fast-paced business environment.