ML for drug discovery

Collaborating with the groups of Professor Paul Schanda and Professor Francesco Locatello.

• I joined Sibylla as their first employee. I spent 60% of my time at Sibylla while pursuing MSc and PhD studies in parallel. I contributed in producing results for two rounds of fund-raising.• I played a key role in the ideation, design, and implementation of the overall algorithmic approach and core strategies used in the firm. • I built mid-frequency market-neutral strategies, and algorithms for portfolio management.• I contributed to the implementation of our bespoke backtesting platform for ML-based quant-trading.

Digital Image Processing. https://vistalab-technion.github.io/cs236860/info/

Data-driven methods to improve ultrasound imaging.

Learning-based approaches for image restoration problems.

Internship with Systems Research Lab (SRL), TRDDC.

Sparse representations and dictionary learning for classification problems.