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AI/Data Science Leader
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Queen's University
PhD, Biomedical Computing
January 1, 2004 – January 1, 2008
University of Tehran
Master of Science (MSc), Biomedical Engineering
January 1, 2000 – January 1, 2003
Amirkabir University of Technology - Tehran Polytechnic
Bachelor of Applied Science (B.A.Sc.), Biomedical/Medical Engineering
January 1, 1996 – January 1, 2000
Meta
Senior Staff Data Scientist
May 1, 2025 – Present
McMaster University
Associate Professor
September 1, 2022 – Present
Senior Data Scientist
February 1, 2022 – April 1, 2025
IBM
Manager/Scientist, AI for Medical Image Analysis
July 1, 2016 – February 1, 2022
IBM
Research Staff Member
August 1, 2014 – June 1, 2016
The University of British Columbia
Assistant Professor, Department of Electrical and Computer Engineering
May 1, 2012 – August 1, 2014
Vancouver, BC, Canada
Harvard Medical School
Research Scientist at Brigham and Women's Hospital, Department of Radiology
August 1, 2011 – May 1, 2012
Greater Boston Area
The University of British Columbia
Research Associate
October 1, 2008 – August 1, 2011
Persia BME Information Institute
Head of Board of Directors
May 1, 2001 – December 1, 2003
Tehran, Iran
Iran's Med and Lab Equipment Magazine
Editor in Cheif
January 1, 2000 – December 1, 2003
Fourth Invention Plateau at IBM
IBM
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards research, academia, and highly specialized AI/ML roles, particularly in biomedical computing and medical imaging. While this demonstrates a strong technical foundation, the target role of 'Data Analyst' might be a significant mismatch in terms of day-to-day responsibilities and scope. The candidate's career trajectory suggests a preference for advanced research and leadership in AI/ML, which may not align with typical data analyst functions. The lack of specific project details makes it difficult to assess diversity of data analysis applications beyond medical imaging.
Soft Skills & Operational Fit
The candidate's extensive experience in research, management, and academia suggests strong analytical thinking, problem-solving, and leadership skills. Their work at IBM Research managing a team indicates operational fit for leading data initiatives. The academic background also implies strong communication and presentation skills, though specific examples are limited in the provided data.