Help & Supportcareers@gravityer.com
Responsible AI Research Scientist
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 am a Research Scientist at Northeastern University and part of the Responsible AI team at the Institute for Experiential AI (EAI). My work centers on auditing AI systems—that is, evaluating them through the lens of fairness/bias, robustness, usability or other values that are required to deploy AI in a responsible fashion. I focus on how AI systems grant or restrict access to real-world opportunities, and how well they reflect diverse cultural values and norms. In addition to research, I advise industry partners on best practices for building AI systems that are fair, transparent, and accountable.
Oregon Health & Science University
Doctor of Philosophy (Ph.D.), Machine Learning, NLP, Speech Processing
January 1, 2013 – January 1, 2019
Ben-Gurion University of the Negev
B.Sc, Biomedical Engineering
January 1, 2007 – January 1, 2011
Northeastern University
Research Scientist
May 1, 2023 – Present
Boston, Massachusetts, United States · Hybrid
University of Colorado Boulder
Research Associate
March 1, 2021 – April 1, 2023
Boulder, Colorado, United States
Cylance Inc.
Deep Learning and ML Researcher
June 1, 2016 – October 1, 2016
Portland, Oregon Metropolitan Area
Sensory, Inc.
SV engineer
July 1, 2015 – October 1, 2015
Portland, Oregon Metropolitan Area
Center for Spoken Language Understanding (CSLU)
PhD in Computer Science - NLP, Machine Learning, Deep learning
October 1, 2013 – December 1, 2020
Portland, Oregon, United States
Afeka Center for Language Processing
Signal Processing Engineer
January 1, 2013 – September 1, 2013
Tel Aviv, Israel
Bar Ilan University
Research Assistant
July 1, 2012 – April 1, 2013
Speech and Acoustics Lab, BIU, Israel
VocalZoom
Signal Processing Engineer
January 1, 2012 – July 1, 2012
Yokneam, Israel
Vectorious Medical Technologies
R&D Developer
October 1, 2011 – July 1, 2012
Tel Aviv, Israel
Ben Gurion University
B.Sc Biomedical Engineering
September 1, 2007 – February 1, 2012
BGU, Israel
Adapting Textual Techniques to Multimedia Search
September 1, 2015 – Present
MediaEval Benchmarking Initiative for Multimedia Evaluation, Germany, 2015
Pronunciation Analysis for Children with Speech Sound Disorders
August 1, 2015 – Present
IEEE Engineering in Medicine and Biology Society (EMBC), Italy, 2015
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and development, with significant contributions to various scientific initiatives and universities. While this demonstrates a strong drive for innovation and deep technical expertise, the transition to a 'Data Analyst' role in a corporate environment might require adaptation. The projects and experience show a strong alignment with advanced data science, machine learning, and AI research, which could be a good fit for an innovative data-driven culture. However, the specific 'Data Analyst' target role typically emphasizes business intelligence, reporting, and actionable insights from existing data, which is less explicitly covered in the candidate's research-focused resume. The diversity of research topics (speech, NLP, BCI, malware, responsible AI) indicates adaptability and a broad intellectual curiosity.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong analytical thinking, problem-solving, and independent work capabilities. Experience in leading research and working on interdisciplinary projects (e.g., iSAT) indicates potential for collaboration and initiative. However, the resume does not provide direct evidence of project management, stakeholder communication, or team leadership in a corporate setting, which are crucial for senior roles. The psychometric test results are not provided, so a full assessment of work attitude, stress handling, and team collaboration is not possible.