Help & Supportcareers@gravityer.com
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.