My mission is to build socially beneficial, robust, and theoretically substantiated machine learning systems.
I am a member of Pembroke College, funded by the Cambridge-Tübingen PhD fellowship with generous donations from Microsoft.
My background is in Physics and Mathematics. I was fortunate to spend time at Harvard, working with Paul Chesler and Wilke van der Schee, as well as at Stanford, working with William East and Tom Abel.
- 01/2019: I will join Deepmind for a summer internship
- 12/2018: Organized the NeurIPS18 Workshop on Privacy Preserving Machine Learning
- 11/2018: Generalization in anti-causal learning accepted at the NeurIPS18 Workshop on Critiquing and Correcting Trends in Machine Learning
- 05/2018: Two papers accepted at ICML 2018
- 04/2018: I will join Amazon for a summer internship
- 11/2017: Learning Independent Causal Mechanisms accepted at NIPS workshop on Learning Disentangled Representations
- 11/2017: ConvWave accepted at NIPS workshop on Deep Learning for Physical Sciences
- 09/2017: Avoiding Discrimination Through Causal Reasoning accepted at NIPS
Selected Publications & Projects
Blind Justice: Fairness with Encrypted Sensitive Attributes
NK, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller
- Albert Einstein Institute (Potsdam-Golm, Germany): Machine Learning powered CBC Search
- Alan Turing Institute (London, UK): Fairness in Machine Learning
- Max Planck Institute for Software Systems (Saarbrücken, Germany): Fairness in Machine Learning
- Stanford University (CA, USA): Searching for Gravitational Waves with Machine Learning
- University of Regensburg (Regensburg, Germany): Fully Convolutional Networks for Gravitational Wave Searches
- Microsoft Research (Cambridge, UK): Learning Independent Causal Mechanisms
- Amazon Research (Cambridge, UK): Blind Justice: Fairness with Encrypted Sensitive Attributes
- Organizer of the NeurIPS 2018 workshop on Privacy Preserving Machine Learning
- Organizer of the CamTue workshop: Mallorca 2017, Tenerife 2018
- I thoroughly enjoy teaching, was active in the Schülerzirkel Mathematik in Regensburg, a TA for many courses in Math, Physics, and CS, lectured a semi-annual course on Computer- and Microcontroller-Technology, and co-lectured the course Green-IT at the summer academy 2016 in Leysin, organized by the German Academic Scholarship Foundation.
- I like building things, for example: Babyzen - A flexible sensor BoosterPack [codeproject article][short video][report (pdf)] or some things here.