I'm a mathematics PhD and former economist with experience in softwaredevelopment and data analysis of financial, ecological, and clinical data. I'm broadly interested in the development and application of software solutions and quantitative methods in settings requiring high degrees of accuracy, e.g., medical research, health care, public health research, and finance.
Having extensive experience with inferential statistics, my current focus is on machine learning techniques, with particular interests in causal inference, targeted learning, interpretable machine learning, and designs of deep learning architectures.
From October 2019 to August 2025 I worked as an independent researcher funded by the SNF and the ISF at Tel Aviv University, EPFL, and ETHZ. I have collaborated across the globe and published various works in collaboration with Menny Aka, Manfred Einsiedler, Osama Khalil, Taylor McAdam, Philippe Michel, Nimish Shah, Barak Weiss, and Andreas Wieser.
For more details, you can find a curriculum vitae here.
Most of the code I produce(d) can not be made publicly available. Whenever I find the time, I do some coding on the side, mostly for exploring applications of machine learning or for exploratory analysis of certain algorithms, e.g., the quality of approximation and rates of convergence for certain machine learning algorithms with known data generation mechanisms. This is part of my own learning experience. Some of the code can be found on my GitHub profile. The public repositories are all work in progress.
Joint with Osama Khalil and Barak Weiss. In preparation.
Talk at IHP ArxivJoint with Menny Aka, Manfred Einsiedler, Philippe Michel, and Andreas Wieser. In preparation.
Joint with Osama Khalil. Invent. Math.
PDF PublishedJoint with Menny Aka, Philippe Michel, and Andreas Wieser. J. Reine Angew. Math.
PublishedJoint with Manfred Einsiedler and Nimish Shah. Ergod. Theory Dyn. Syst.
Arxiv PublishedJ. Number Theory.
Arxiv PublishedJoint with Manfred Einsiedler. In: Ferenczi S., Kułaga-Przymus J., Lemańczyk M. (eds) Ergodic Theory and Dynamical Systems in their Interactions with Arithmetics and Combinatorics. Lecture Notes in Mathematics, vol 2213. Springer, Cham
Chapter BookJoint with Meike Akveld. In: ETH Learning and Teaching Journal, vol. 3, no. 1, 36-44 (2022)
Article JournalJoint with Andreas Wieser. In: ETH Learning and Teaching Journal, vol. 1, no. 2, 49-57 (2020)
Article JournalA proof of the singular value decomposition avoiding matrices in order to give a better geometric motivation. A write up of the proof provided in this course on Linear Algebra by Meike Akveld.
PDFA proof avoiding the minimal polynomial of the fact that a family of commuting, diagonalizable matrices is jointly diagonalizable. A reorganized write up of the sample solution to an exercise posed in this course on Linear Algebra by Meike Akveld.
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