PhD student in mathematics. My research uses differential geometry to better understand the mathematics of deep neural networks.
I am a PhD student in the Department of Mathematics and Mathematical Statistics, under the supervision of Dr. Fredrik Ohlsson. I obtained my master’s degree in mathematics from Lund University in 2022, with my thesis focusing on differential geometry. My research is mainly about using differential geometry to better understand the mathematics behind deep neural network models, in particular, neural ODEs.