// ABOUT

Sukhi Singh

I work on data platforms for antibody discovery — the layer between a sequencer and a decision. Currently Project Lead at ENPICOM, Den Bosch.

// SEQUENCE.ID
→ ENPICOM · Project Lead
→ Den Bosch, NL
→ Pistoia Alliance
→ Bioinformatics → Project
I'm Sukhi, a bioinformatician and program leader building AI at the edge of drug discovery.
// WHAT.I.WRITE.ABOUT

I’m a bioinformatician (PhD, Max Planck Society, magna cum laude) and program leader based in Den Bosch. My work sits where biology, data, and AI collide: leading cross-functional teams that turn messy, large-scale biomedical data into decisions and products.

Today I’m Project Lead at ENPICOM, advancing AI-based antibody and biologics discovery on an ISO 27001 and FAIR-compliant platform. Before that I spent close to two years consulting worldwide through RadTech and Assal Energy on AI and blockchain for drug discovery, renewables, DeSci, and government programs across the UAE, China, India, LATAM, and South Africa.

Earlier chapters include leading AI biomarker discovery at Genialis, advising Top 15 pharma on FAIR and knowledge engineering at The Hyve, and a PhD on H3K4 methyltransferases in mouse embryonic stem cells at Max Planck with six peer-reviewed papers. I also completed Wharton’s Entrepreneurship specialization, the McKinsey Forward Program, and IBM’s Generative AI for Executives.

I enjoy being the translator between lab scientists, engineers, and C-suite. I’m happiest when a complex data problem turns into something a bench scientist, or an agent, can actually use.

Outside work I DJ, hike, play ultimate frisbee, and have volunteered on trail maintenance teams in Norway and Iceland. Feel free to get in touch via LinkedIn or GitHub.

Get In Touch →
// WHAT.I.DO

What I Do

AI-Driven Drug Discovery

Lead antibody discovery and biologics analytics programs at ENPICOM, turning large-scale immune repertoire data into candidate shortlists through FAIR-by-design platforms.

Program & Project Leadership

Run cross-functional programs worth more than a million euros with scientists, bioinformaticians, and engineers. Comfortable in agile, RACI, and stakeholder-heavy environments.

Data Strategy & Governance

Advise Top 15 pharma on FAIR, knowledge graphs, and data governance. Contributor to the FAIR Cookbook and FAIR consultant on the Novartis Data42 knowledge graph program from inception through stakeholder delivery.

AI Tech Enablement

Translate AI, LLMs, agents, and MCP into production value across pharma, renewables, and DeSci, from strategy and MVP to deployment and change management.

// EXPERIENCE

Experience

  1. Sep 2025 – present
    Project Lead
    ENPICOM

    Lead >€1M cross-functional antibody discovery and analytics programs. Contribute to internal R&D, AI, and product roadmap. FAIR by design, ISO 27001.

  2. Mar 2024 – present
    Principal Consultant
    RadTech

    AI and data strategy, governance, FAIR, linked data. Blockchain for DeSci and distributed energy. Global partnerships across Asia and LATAM.

  3. Mar 2024 – Feb 2025
    AI Program Manager
    Assal Energy

    Built and deployed AI and GenAI business cases for renewable energy (solar, wind, waste-to-energy) with ministries, private equity, and ops teams. Project range 20K to 20M USD.

  4. Apr 2023 – Feb 2024
    Program Lead, AI Biomarker Discovery
    Genialis

    Led cancer biomarker programs combining AI, ML, and NGS. FAIR, ISO 27001, GDPR, HIPAA compliant. KOLs, CROs, and senior leadership stakeholder management.

  5. Mar 2021 – Apr 2023
    Senior Applied Scientist & Alliance Manager
    Genialis (Boston)

    Consulted biopharmas on data science, bioinformatics, AI/ML, and integrated multi-modal analysis for precision health. Award-winning project management.

  6. Nov 2019 – Mar 2021
    FAIR Data & AI Consultant
    The Hyve

    Advised Top 15 pharma on knowledge engineering, data strategy, OMOP/CDISC mapping, real-world evidence (OHDSI, RADAR-BASE). Embedded as FAIR consultant on the Novartis Data42 knowledge graph program from start to delivery — core team member working with 30+ stakeholders across business, science, and engineering.

  7. 2010 – 2019
    Bioinformatician
    HZPC Research, Max Planck, Biotec TU Dresden

    Genome assembly (first tetraploid potato genome), epigenetics research, editor at biostars.org.

// EDUCATION

Education

  1. 2011 – 2016
    PhD, Bioinformatics
    Max Planck Society

    Magna cum Laude (1.3). Six papers published on H3K4 methyltransferases in mESCs.

  2. 2024 – 2025
    Entrepreneurship Specialization
    The Wharton School

    Grade 90%. Pitch development, venture financing, lean scaling, team building.

  3. 2009 – 2010
    MSc, Bioinformatics
    University of Leicester

    Merit. Software engineering thesis on a functional reactive programming language.

// CERTIFICATIONS
  • Wharton Entrepreneurship Capstone
  • McKinsey Forward Program
  • IBM Generative AI for Executives and Business Leaders
  • IBM Generative AI Fundamentals
// LANGUAGES

Dutch (professional), English (native), Hindi/Punjabi (native), German (conversational).

// PUBLICATIONS

Selected publications

Full list on Google Scholar.

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