Stanislaw Jastrzebski
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
co-founder, CTO & CS of molecule.one | VC partner @ Expeditions | sjastrzebski.com
Passionate about automating scientific discovery using deep learning and AI. Currently, CTO & Chief Scientist at Molecule.one, where we are combining AI and deep learning with automated laboratory for understanding chemistry. I did my post-doc at New York University, and PhD at Jagiellonian University (co-advised from University of Edinburgh). During my PhD, I closely collaborated with Yoshua Bengio & MILA, and Google Research. I am also regularly serving as an area chair for leading AI conferences (ICLR, NeurIPS, ICML) and recently as an Action Editor for the TLMR journal. Personal page: sjastrzebski.com.
New York University
Postdoctoral fellow
April 1, 2019 – October 1, 2020
Jagiellonian University
Doctor of Philosophy (PhD), Computer Science
January 1, 2015 – January 1, 2019
Jagiellonian University
Master's degree, Computational Mathematics
January 1, 2014 – January 1, 2016
Jagiellonian University
Master's degree, Computer Science, Modeling Cognition and Control
January 1, 2014 – January 1, 2016
Jagiellonian University
Bachelor's degree, Computer Science (Individual program of studies), spec. Modelling, Cognition and Control
January 1, 2011 – January 1, 2014
Expeditions
Venture Partner
March 1, 2026 – Present
Jagiellonian University
Lecturer
March 1, 2024 – Present
Cracow, Małopolskie, Poland
Expeditions
Venture Advisor
June 1, 2023 – April 1, 2026
Molecule.one
Co-founder, CTO & Chief Scientific Officer
May 1, 2022 – Present
Molecule.one
Co-founder, co-CTO & Chief Scientific Officer
March 1, 2022 – May 1, 2022
Jagiellonian University
Assistant Professor
November 1, 2020 – October 1, 2021
Molecule.one
Co-founder & Chief Scientific Officer
October 1, 2020 – March 1, 2022
New York University
Post-Doctoral Fellow
April 1, 2019 – September 1, 2020
New York
Molecule.one
Advisor
November 1, 2018 – September 1, 2020
Research intern
November 1, 2018 – January 1, 2019
Zurich, Switzerland
The University of Edinburgh
Research visitor
July 1, 2018 – November 1, 2018
Université de Montréal
PhD Intern in Deep Learning
August 1, 2017 – December 1, 2017
Greater Montreal Metropolitan Area
Université de Montréal
PhD intern in Deep Learning
September 1, 2016 – December 1, 2016
Greater Montreal Metropolitan Area
Palantir Technologies
Machine Learning Intern
July 1, 2016 – September 1, 2016
London Area, United Kingdom
The University of Edinburgh
Research Intern
September 1, 2015 – November 1, 2015
Edinburgh
Palantir Technologies
Software Engineer Intern
June 1, 2015 – August 1, 2015
Palo Alto, USA
Microsoft
Software Development Engineer Intern
July 1, 2014 – September 1, 2014
Redmond, USA
WIDE IO LTD
Software Development Intern
July 1, 2013 – August 1, 2013
London, United Kingdom
Cultural Fit Analysis
The candidate's diverse experience across academia, startups, and large tech companies, coupled with venture advisory roles, suggests adaptability and a broad perspective. Their involvement in 'Autonomous Scientific Discovery using Deep Learning' and 'building chemical superintelligence' indicates a strong drive for innovation and complex problem-solving. However, the target role of 'Data Analyst' might be a significant shift from their current leadership and research-heavy roles, potentially leading to a mismatch in day-to-day responsibilities and expectations. The focus on deep research and AI development might not align perfectly with the typical operational demands of a Data Analyst role.
Soft Skills & Operational Fit
The candidate's co-founder and CTO roles suggest strong leadership, strategic thinking, and problem-solving skills. Their academic and research background implies a strong analytical mindset and ability to work independently. The venture partner/advisor roles indicate business acumen and networking capabilities. However, specific operational fit for a pure Data Analyst role, which often requires detailed data manipulation and reporting, is not explicitly detailed in the provided experience descriptions.