Dr. ASHAR AHMAD

My post-doctoral project involved using ML techniques to patient data from neurodegenerative diseases. I have been involved as the lead data scientist in following pilot research projects: a) Machine Learning for sub-population identification for biomarker discovery & prognostic enrichment of clinical trial population, b) Deep Learning on large-scale knowledge graphs for drug (and target) safety profile prediction, c) Causal AI on RWD for predictive enrichment in clinical trials.

As a Research Associate working on academic projects I was: a) Analysing brain cancer (GBM) patient data, omics and other clinical data. The work involved running bioinformatics pipelines in the context of BMBF funded project IDENTIREST. I was responsible for transcriptomics and genomics data analysis. b) I was involved publishing original research methodologies in top ranking journals, assisting teaching activities and mentoring newer graduate students.

The topic of my PhD was "Dissecting patient heterogeneity via statistical modelling on multi -omics data". The thesis involved developing and implementing ML models in the area of Bayesian Statistical Learning, and Probabilistic Graphical Models.

The M.S. program specialized in linking Engineering and Computer Science domains with emphasis on Mathematical Modelling and Simulation strategies. My focus was on Machine Learning methods for my Master's thesis.

The Bachelors program was supplemented with an Honour's degree. My focus with the Bachelor's thesis was on Computational Modelling and Simulation.