Muhammad Mamduh Ahmad Zabidi, PhD

Scientific AI Engineer

I work at Roche on AI systems for pharmaceutical R&D, solving problems where biology and engineering meet.

My background covers biochemistry & molecular biology, computational biology, and AI engineering. I did my PhD in computational biology at the Institute of Molecular Pathology in Vienna, Austria, and bachelor's degree at Purdue University, USA.

Biochemistry & Molecular Biology Computational Biology AI Engineering

About

Biologist by training. Engineer by practice.

I started my career at the bench in cancer research, studying genes that are involved in nasopharyngeal cancers. I then did a PhD in computational biology at the Institute of Molecular Pathology in Vienna, working on gene regulation and genomics.

Over time I moved toward the engineering side, working on data infrastructure and AI systems.

Today I work at Roche in collaboration with Chugai, building and evaluating AI systems for scientific R&D. I spend my time answering scientific questions through engineering.

Selected work

Projects across AI engineering and computational biology

Pharma R&D

AI Engineering at Roche × Chugai

Building AI pipelines for scientific use in the cloud. Bridging the gap between scientific understanding and AI engineering.

Scientific AI Systems

Regulatory Knowledge Extraction with Multimodal LLMs

Built a system to convert regulatory documents into structured knowledge using multimodal LLMs, enabling downstream machine learning workflows for therapeutic design.

Edge AI Engineering

Intel VDA: Local Video Intelligence Orchestrator

Built an offline desktop AI system for video intelligence, combining OpenVINO-optimized models, Tauri, gRPC, SQLite memory, agentic routing, and local report generation.

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Genomic AI

Genomic Foundation Model Evaluation

Built a biologically grounded framework for evaluating genomic foundation models, and benchmarking against experimental evidence.

Publications & patents

Research across molecular biology, computational biology, and AI engineering

First-author publications

First-author publications in computational biology, published in Nature, Nature Biotechnology, and Trends in Genetics.

Cancer genomics

Co-led a large-scale Asian breast cancer genomics study, published in Nature Communications.

Patents

Co-inventor on patents in cancer detection and model routing for AI systems.

Research profiles

Full publication record on ORCID and Google Scholar.

Selected writing

Essays on scientific data, biomedical knowledge, and AI systems

Regulatory AI

FDA Documents: The Technical Ledger of Modern Medicine

An essay on FDA approval documents as a public, semi-structured archive of biomedical evidence, regulatory judgment, and evolving standards in modern medicine.

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Scientific Data Engineering

Sourcing Scientific and Clinical Data

An overview of how scientific and clinical data can be sourced, including in-house generation, partnerships, vendors, and public datasets.

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