Update about.md

Author: andregraubner

_pages/about.md

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 I am interested in building foundation models for genomics and epigenomics.
-Beyond that, I like thinking about the intersection of the theory of computation, cognitive science and (machine) intelligence.
-In parallel, I build tools, methods and datasets to advance research questions in climate science.
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+Before that I built tools, methods and datasets to advance research questions in climate science at Nvidia and the European Space Agency.
 When appropriate, I like to apply and improve methods from deep learning.
 
 During my undergrad at ETH Zurich, I worked with my supervisor [Nora Hollenstein](https://norahollenstein.github.io) to bridge rationale-based interpretability methods for natual language processing and psycholinguistic data like eye-tracking.
 
-I also spent time as a part-time researcher at Lawrence Berkeley Lab working on large-scale deep learning for climte analytics, supervised by [Prabhat](https://www.researchgate.net/profile/Mr-Prabhat) and [Karthik Kashinath](https://scholar.google.com/citations?user=sNMCgVwAAAAJ&hl=en). 
+I also spent time as a part-time researcher at Lawrence Berkeley Lab working on large-scale deep learning for climte analytics, supervised by [Prabhat](https://www.researchgate.net/profile/Mr-Prabhat) and [Karthik Kashinath](https://scholar.google.com/citations?user=sNMCgVwAAAAJ&hl=en). As a follow-up, I co-led the creation of the [largest hand-crafted extreme weather dataset](https://eo4society.esa.int/projects/advancing-the-study-of-extreme-weather-events-with-data-deep-learning-methods-and-climate-analysis/) for the European Space Agency and built deep learning models on top of it.
 
 Afterwards, I joined Nvidia as a research intern under supervision of [Anima Anandkumar](https://en.wikipedia.org/wiki/Anima_Anandkumar), improving calibration of the FourCastNet neural weather model.