I build deep learning systems for drug discovery and medical imaging. Nearly seven years at AstraZeneca R&D, with peer-reviewed work in Patterns and four AACR poster presentations. M.S. Bioinformatics, University of Michigan.
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Recent
Automatic contrast phase classification of polyphasic CT scans
Poster presentation at the AACR Annual Meeting 2026 (San Diego). Co-authored work on identifying contrast phase from CT volumes — a prerequisite for downstream tumor segmentation pipelines that depend on consistent imaging protocol.§ 02
Selected work
Multimodal IC50 prediction
PyTorch models fusing cell painting microscopy with SMILES chemical representations for compound activity prediction. Deployed across compound libraries totaling 39K compounds; jointly learned image-and-structure embeddings inform downstream phenotype-to-target reasoning.Biomedical imaging data platform
Unified ingestion and preprocessing platform for biomedical imaging at scale — now the team’s standard data layer. Sixteen multi-center datasets, 150K CT volumes, automated mapping of thousands of annotation masks across DICOM and NIfTI standards.Interactive 3D segmentation toolset
Transformer-backed segmentation tool for 3D volumetric data with text-guided prompts. Halved annotation time and deployed to twelve internal users across R&D. Companion paper as poster at AACR 2024.Graph-based analysis of multiplex immunofluorescence
Graph Neural Networks over multi-channel images, capturing spatial cell-cell relationships in multiplex IF for downstream phenotype classification. Preprint on bioRxiv; abstracts at SITC and AACR.Multi-agent stock analysis pipeline
Three-agent system (analyst → challenger → synthesizer) running on locally hosted Gemma via Ollama, with a Streamlit dashboard. Designed to surface disagreement and adversarial critique before final synthesis.§ 03
Career — AstraZeneca, 2019 – present
Drug Discovery ML — IC50 multimodal · GNN multiplex IF
Medical Imaging & Segmentation — interactive 3D segmentation · contrast phase classification · patch-based unsupervised analysis · microcalcification detection
Tooling & Infrastructure — biomedical imaging data platform · embedding visualization toolkit · DICOM/NIfTI annotation pipelines
Before AZ: Software Engineer at Ann Arbor Algorithms (2018 – 2019) — chest vessel segmentation, 3D tumor segmentation, lung cancer prediction, ECG abnormality detection. Full project list →
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More
For the full list of professional work, personal projects, and writing, see all work or the publications page.
For collaboration, hiring, or conversations: reach me on LinkedIn or via the contact details on my CV.