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Leading Olmo Scaling @ Ai2 | Cofounder @ Envive AI
I build open language models at Allen Institute for AI (Ai2). I lead the scaling team, focusing on building and scaling the Olmo models. Olmo aims to build "state-of-the-art", "truly-open" LLMs to narrow the gap between open and proprietary research. I spent the time from early 2023 to early 2026 in startup land. I co-founded Envive.ai doing post-training and RL for eCommerce. We took it from zero to tens of millions of funding, many customers, a lot of revenue, and AI tech that scales to orders of magnitude more. I received my PhD in Computer Science from the University of Texas at Austin, working with Ray Mooney and Katrin Erk. Email address: iz@beltagy.net Personal Webpage: beltagy.net
The University of Texas at Austin
Master of Science, Computer Science
January 1, 2011 – January 1, 2014
The University of Texas at Austin
PhD, Computer Science
January 1, 2011 – January 1, 2016
Alexandria University
Master of Science, Computer Science
January 1, 2009 – January 1, 2011
Alexandria University
Bachelor of Engineering, Computer Engineering
January 1, 2003 – January 1, 2008
Ai2
Lead Research Scientist
July 1, 2023 – Present
Greater Seattle Area
Envive AI (formerly Spiffy AI)
Chief Scientist and Cofounder
March 1, 2023 – March 1, 2026
Greater Seattle Area
Ai2
Senior Research Scientist
January 1, 2021 – June 1, 2023
Greater Seattle Area
Ai2
Research Scientist
December 1, 2017 – December 1, 2020
Greater Seattle Area
Quora
Machine Learning Engineer
September 1, 2016 – November 1, 2017
Mountain View
Microsoft Research
Research Intern
May 1, 2015 – August 1, 2015
Redmond
The University of Texas at Austin
Research Assistant
January 1, 2013 – August 1, 2016
VMware
Intern
June 1, 2012 – August 1, 2012
Cambridge, MA
The University of Texas at Austin
Teaching Assistant
August 1, 2011 – December 1, 2012
Faculty of Engineering, Alexandria University, Egypt
Teaching Assistant
December 1, 2009 – July 1, 2011
EJADA
Software Engineer
August 1, 2008 – July 1, 2011
Alexandria, Egypt
University of Siegen
Undergraduate Intern
July 1, 2007 – August 1, 2007
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and academic environments, with a strong focus on AI/ML and LLMs. While this demonstrates deep technical expertise, the target role of 'Data Analyst' might not fully leverage their advanced research capabilities. The diversity of projects is primarily within the AI/ML domain, which may indicate a specialized focus rather than broad data analysis experience. The transition from a Chief Scientist/Lead Research Scientist to a Data Analyst role requires careful consideration of career aspirations and alignment with the company's needs for a data analyst.
Soft Skills & Operational Fit
The candidate's extensive experience in research and leadership roles suggests strong problem-solving, critical thinking, and potentially good communication skills, especially in technical contexts. The co-founder role indicates entrepreneurial drive and initiative. However, specific data on collaboration, stress handling, or work attitude is not available from the provided assessment scores.