Amin F.

AI-driven drug discovery startup.

○ Built and led the ML & data science function from the ground up — recruited and managed a team of 5 engineers and scientists, defined research and engineering strategy, secured competitive research funding including NIH grants and a PhD fellowship, and contributed to company-wide direction as a member of the Senior Scientific Committee.

○ Contributed to the company's scientific strategy and external visibility — building academic partnerships resulting in joint publications and co-supervised graduate students, conducting technology monitoring for the executive team, and listed as primary inventor on a pending international patent (PCT) covering core platform technology.

○ Engineered and deployed an end-to-end live-cell high-content screening platform processing terabytes of fluorescence microscopy video weekly — with analytical modules spanning cell segmentation, division detection and tracking, feature extraction, statistical analysis, and ML-driven downstream exploration — enabling systematic drug screening at a scale previously out of reach.

○ Architected the underlying data infrastructure from the ground up — including a proprietary cloud-native data format, parallelised HPC pipelines, and interactive dashboards for end-to-end experiment monitoring.

○ Drove ML and computational research across multiple projects — including NIH-funded work on laboratory automation at microfluidic scale and high-throughput drug screening — publishing findings in peer-reviewed journals on contrastive learning, cell segmentation, and representation learning.

PhD in Computer Vision and Pattern Recognition.

○ Designed novel algorithms for unsupervised and semi-supervised hierarchical image segmentation, video object segmentation, and semantic segmentation — results published in international conferences and journals.○ Implemented a graph-based hierarchical segmentation module in Smil (mathematical morphology Python library), adopted by the research group.

○ Organised a machine learning reading group for PhD students and taught industry-facing courses on deep learning at Mines Paris PSL.

Contributed to the pricing module of a large-scale airline ticket search engine and scripted data handling pipelines for high-volume transactional data.