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AI researcher at Microsoft Research, professor at Northeastern. Author of the book Causal AI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
* Author of the book Causal AI: https://www.manning.com/books/causal-ai. Expert in causal inference and programmatic causal reasoning. * Machine learning research engineer with experience building and deploying probabilistic machine learning-based applications to production environments. * Published in NeurIPS, ICML, ICLR, and ACS. Research has focused on causal AI and probabilistic machine learning.
Purdue University
Doctor of Philosophy (Ph.D.), Statistics
N/A – Present
Johns Hopkins School of Advanced International Studies (SAIS)
Hopkins-Nanjing Center Program, International Relations and National Security Studies
N/A – Present
University of Pittsburgh
Bachelors, Economics
N/A – Present
Microsoft
Senior Researcher
September 1, 2021 – Present
Seattle, Washington, United States
Northeastern University
Adjunct Professor
May 1, 2019 – December 1, 2024
Greater Boston
Gamalon, Inc.
Machine Learning Research Scientist
February 1, 2018 – August 1, 2021
Boston, Massachusetts, United States
Zymergen, Inc.
Data Scientist
January 1, 2017 – January 1, 2018
Purdue University
Research Assistant
September 1, 2010 – December 1, 2016
Cultural Fit Analysis
The candidate's background includes academic research, industry research, and teaching, demonstrating a diverse set of experiences. Their focus on causal inference, Bayesian methods, and generative AI aligns well with cutting-edge research environments. The experience at a startup (Gamalon) and a large tech company (Microsoft) suggests adaptability to different organizational cultures. However, the lack of explicit project diversity outside of core research areas might limit broader cultural contributions.
Soft Skills & Operational Fit
The candidate's experience as an Adjunct Professor and their work at Gamalon (pioneering best practices for connecting research and software engineering in Agile/SCRUM) suggest strong communication, mentorship, and collaboration skills. Their work on building and deploying an email marketing platform and ETL pipelines indicates an ability to translate research into practical, deployable solutions.