Research scientist at the Basis Research Institute. Core contributor to ChiRho, an open-source causal probabilistic programming language, where I lead the probabilistic causal impact attribution work. I build causal Bayesian models with deep machine-learned components and take them from formal method to production.
Technical Skills
- Probabilistic ML & deep learning: Bayesian deep learning, Gaussian processes, normalizing flows, neural ODEs, hierarchical models (PyTorch, JAX, Pyro, NumPyro, ChiRho, GPyTorch, ArviZ)
- Causal inference: probabilistic explanation & attribution, counterfactual reasoning, actual causality (Halpern–Pearl)
- Bayesian inference & uncertainty: MCMC, variational inference, uncertainty quantification
- Dynamical & spatio-temporal modeling: state-space & dynamical-systems models, spatial & spatio-temporal modeling, time series (Dynestyx)
- Gradient boosting & classical ML: XGBoost, LightGBM, CatBoost, scikit-learn
- Languages & data: Python (primary), SQL; some R; NumPy/SciPy, pandas, geopandas, statsmodels
- MLOps & infrastructure: MLflow, Databricks, Docker, papermill, Snowflake/DuckDB
Positions
- Research Scientist, Basis Research Institute, New York2023–
- Associate Professor, University of Gdańsk (Philosophy, Sociology & Journalism)2014–2024
- Postdoctoral Fellow (Research Foundation – Flanders, FWO), Centre for Logic and Philosophy of Science, Ghent University (concurrent with Gdańsk)2012–2019
- Assistant Professor, University of Gdańsk2008–2014
- Postdoctoral Researcher, Centre for Logic and Philosophy of Science, Ghent University (concurrent with Gdańsk)2008–2012
Honors & visiting fellowships
- Kosciuszko Foundation Fellowship, host: B. Fitelson, Northeastern University2022
- Bednarowski Trust Fellowship, host: M. Smith, University of Edinburgh2022
- Trinity College Long Room Hub Visiting Fellowship, Dublin2012
- Visiting Fellow, Banaras Hindu University, Varanasi2011
- British Academy Visiting Fellowship, University of Bristol2009
Education
- Habilitation in Philosophy, University of Warsaw2013
- PhD in Logic and Philosophy of Mathematics, University of Calgary2008
Grants
- Probability on Trial, OPUS grant, National Science Centre, Poland (PI)2021–2024
- Forensic & judicial applications of probability, Sonata Bis grant, National Science Centre, Poland (PI)2017–2020
Selected publications
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A Counterfactual Semantics for Hybrid Dynamical Systems.
Advances in Neural Information Processing Systems (NeurIPS), 2025.
with A. Zane, D. Batenkov, J. Zucker, S. Witty
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Whom to pity, whom to scold? Effects of empathetic and normative AI-assisted interventions on aggressive Reddit users with different activity profiles.
Information Processing & Management, 2026.
with P. Tempska, M. Dowgiałło, M. Ptaszyński et al.
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Modal Quantifiers, Potential Infinity, and Yablo Sequences.
The Review of Symbolic Logic, 2026.
with M. T. Godziszewski
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Linking Cognitive Strategy, Neural Mechanism, and Movement Statistics in Group Foraging Behaviors.
Scientific Reports (Nature Portfolio), 2024.
with M. Xie, E. Mackevicius
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A Bayesian Approach to Uncertainty in Word Embedding Bias Estimation.
Computational Linguistics, 2024.
with A. Dobrzeniecka
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Measuring Coherence with Bayesian Networks.
Artificial Intelligence and Law, 2023.
with A. Kowalewska
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Legal Probabilism.
Stanford Encyclopedia of Philosophy, 2021.
with M. Di Bello
More on the publications page; the full, up-to-date list is on Google Scholar (≈520 citations, h-index 12).