My name is Hrushikesh Loya, and I am a PhD scholar in the Department of Statistics at University of Oxford. I am pursuing my Doctoral research with Prof. Simon Myers and Prof. Pier Palamara in the domain of statistical and population genetics. I am working on improving genealogy inference and applying these genealogies for problems ranging from demographic inference to phenotype prediction. I have also worked on survival analysis and probabilitic machine learning and have keen interests in Deep learning, Bayesian Inference and AI Safety.

I maintain a list of my publications and research implementations under the Publications tab. To get an insight into my professional life so far, you can have a look at my CV.


  • Oct 2020: Starting my PhD at university of Oxford as a Clarendon scholar and Medical Sciences CDT awardee

  • Feb 2020: A paper “Uncertainty Estimation in Cancer Survival Prediction” got accepted for ICLR Workshop on AI for Affordable Healthcare, 2020

  • Jan 2020: A paper “Stochastic Activation and Bistability in a Rab GTPase Regulatory Network” published in PNAS

  • Oct 2019: Awarded Best Poster Award for “Phenotype Switching during TNFa - TNRF1 Signaling” at NGBT, 2019

  • Sep 2019: A paper “A Bayesian framework to quantify survival uncertainty” got accepted for ESMO MAP 2019

  • May 2019: A paper “Phenotype Switching during Tumor Necrosis Factor alpha signalling” got accepted for TNF Conference, 2019