Computer scientist and technology leader with deep experience in AI, ML, and high performance computing across genomics, precision medicine, and legal tech. I have built and scaled regulated, production systems translating advanced algorithms into clinical and commercial impact. My work spans genome assembly, cancer risk modeling, neuro AI platforms, and enterprise AI strategy, leading multidisciplinary teams from research to real world deployment.

Christopher Bun

Computer scientist and technology leader with deep experience in AI, ML, and high performance computing across genomics, precision medicine, and legal tech. I have built and scaled regulated, production systems translating advanced algorithms into clinical and commercial impact. My work spans genome assembly, cancer risk modeling, neuro AI platforms, and enterprise AI strategy, leading multidisciplinary teams from research to real world deployment.

Available to hire

Computer scientist and technology leader with deep experience in AI, ML, and high performance computing across genomics, precision medicine, and legal tech. I have built and scaled regulated, production systems translating advanced algorithms into clinical and commercial impact. My work spans genome assembly, cancer risk modeling, neuro AI platforms, and enterprise AI strategy, leading multidisciplinary teams from research to real world deployment.

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Language

English
Fluent

Work Experience

Head of Technology at AUGNITION LABS
February 1, 2025 - Present
Own end to end technology and AI strategy for a next generation cognitive assessment and neuroscience platform. Lead development of agentic and LLM powered systems for adaptive testing, scoring, interpretation, and workflow automation. Establish technical foundations for validation, regulatory readiness, and future clinical studies.
AI and Technology Advisor at STEALTH MODE BIOTECH
February 1, 2025 - Present
Technical and AI architect for an agent driven biotech platform focused on accelerating drug discovery and portfolio decision making under uncertainty. Design multi agent AI systems that reason over scientific evidence, experiments, and asset risk. Develop frameworks for uncertainty resolution, experiment prioritization, and early asset termination.
Independent Research Lead at INDEPENDENT
February 1, 2020 - Present
Independent research at the intersection of AI, scientific reasoning, and precision oncology. Precision oncology research spanning drug response prediction, biomarker discovery, and model evaluation. Development and analysis of scoring frameworks for model evaluation and scientific decision making.
Director of Artificial Intelligence at KIRKLAND & ELLIS
July 1, 2023 - February 1, 2025
Owned firm wide AI strategy and execution for a global law firm operating under extreme regulatory and reputational constraints. Defined and executed end to end AI strategy from hardware infrastructure through LLMOps. Built and led a dedicated AI engineering team. Established an AI Center of Excellence for education, governance, and responsible deployment.
Chief Scientific Officer + Chief Technology Officer at CANCERIQ
October 1, 2014 - May 1, 2023
Co-founded and scaled a predictive analytics healthcare platform for cancer risk. Owned scientific, technical, and engineering strategy across the full product lifecycle. Architected secure, HIPAA compliant healthcare data platforms and analytics pipelines. Integrated with EHR, genetic testing, and healthcare IT ecosystems. Scaled engineering teams and modern cloud-based delivery pipelines.
Researcher at ARGONNE NATIONAL LABORATORY
September 1, 2011 - November 1, 2017
Computational genomics and genome assembly algorithms for accuracy and performance. Machine learning applied to microbial resistance and cancer drug response. Architected AssemblyRAST platform used within PATRIC and KBase.

Education

PhD in Computer Science at University of Chicago
January 11, 2030 - January 1, 2016
MS in Computer Science at University of Chicago
January 11, 2030 - January 1, 2013
MS in Computer Science - Concentration in Scientific Computing at Loyola University Chicago
January 11, 2030 - January 1, 2010
BS in Bioinformatics at Loyola University Chicago
January 11, 2030 - January 1, 2008
BS in Biology at Loyola University Chicago
January 11, 2030 - January 1, 2008

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Software & Internet, Professional Services, Other