What happens when you put a biologist behind a keyboard?
Sitting at the intersection of computational biology, AI, and pharmaceutical education — and building the bridges between them.
Curiosity-driven data scientist who believes the best innovations happen when you empower people to think differently about their data.
I started in a wet lab, pipetting and staring at protein gels. Somewhere along the way, I realised the most exciting part wasn't the experiment itself - it was the data it produced. That curiosity pulled me from biochemistry into computational biomedicine, and eventually into the role I have today: helping researchers and students unlock the power of data science and AI.
I'm driven by watching people grow. Whether it's a scout learning to lead a patrol, a clinician running their first R script, a professor discovering what AI can do for their teaching, or a student winning a Gold Medal at an international competition - that moment of transformation is what gets me out of bed.
To make those moments happen, I combine state-of-the-art data science and AI with bioinformatics tools. Together, these can spark novel innovations that wouldn't exist in either field alone.
The next breakthrough in drug discovery won't come from biology alone, or from AI alone. It will come from people who speak both languages fluently - and I think teaching that fluency is one of the most important things I can do.
Copenhagen, Denmark
Data Science Specialist, CPDSE - University of Copenhagen
MSc Computational Biomedicine, SDU
Danish (Native), English (Fluent), German (Intermediate)
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Dept. of Drug Design & Pharmacology, University of Copenhagen
Leading cross-institutional AI workflow development and designing data science curricula across pharmaceutical programmes at UCPH and SDU. Building hands-on teaching frameworks, workshops, and strategic outreach connecting academia with industry.
Shaping DDSA strategy and serving as jury member in the Danish National Championship in AI (DMiAI). Helping strengthen the Danish data science ecosystem through community initiatives.
SDU-Denmark iGEM Team
Novo Nordisk Foundation supported
Mentored student teams in the world's largest synthetic biology competition. 2023: Gold Medal + Special Prize for Best Integrated Human Practices, nominated for Best Bioremediation, Best Sustainable Development Impact, and Best Presentation. 2024: Silver Medal + nominated for Best Education.
Built and integrated a proteomic workflow into the National Health Data Science Sandbox. Created Docker-based environments on UCloud HPC with GPU-accelerated protein structure prediction. Co-founded the AI Special Interest Group and supported 60+ researchers.
Life Science Fyn
Elevated the profile of the life science sector on Funen through high-quality photo and video content for marketing campaigns, PR initiatives, and social media. Leveraged a biochemistry background to authenticate science communication and outreach.
University of Southern Denmark
Introduced high school students to bioinformatics through lectures and hands-on exercises. Served on the departmental Teaching Committee and supported IT infrastructure.
Self-taught photographer specialising in concert, event, and life science photography. Published by UNICEF, Danmarks Radio, TV2 Danmark, Aller Media, and Berlingske Media. Collaborations with Odense Municipality, Roskilde Festival, and the University of Southern Denmark.
Computational Biomedicine
University of Southern Denmark, Odense
Master project (60 ECTS): PWM-based Prediction of Transcription Factor Binding Sites. Worked across Functional Genomics and Data Science & Statistics, developing expertise in R, Linux, Bash, and DuckDB for large-scale data analysis.
Biochemistry & Molecular Biology
University of Southern Denmark, Odense
Thesis on genome-wide PPARγ analysis with Prof. Susanne Mandrup. Won a Gold Medal for Conjugaid in the iGEM Competition through the SDU Talent Program (additional 30 ECTS). Chaired the department's student association.
I teach to make the complex accessible. My courses blend bioinformatics, data science, and real-world biomedical data - so students don't just learn theory, they build something they can use.
Lead instructor & course designer
ANOVA, linear models, and hands-on R projects applied to omics data including RNA-seq, proteomics, and epidemiological datasets.
Co-instructor & content developer
Structural bioinformatics with AlphaFold2, AlphaFold3, ColabFold, ESMFold, and molecular visualization in VMD.
Module designer & co-instructor
Computational workflows on UCloud HPC with Git-based version control. Emphasis on reproducibility and practical scripting.
Lead on proteomics module
Docker-based proteomics environment on UCloud HPC, enabling researchers with limited programming experience to analyse clinical datasets.
iGEM Grand Jamboree 2024 - Nominated for Best Education
Supervised the SDU iGEM team to a Silver Medal with a nomination for Best Education.
iGEM Grand Jamboree 2023 - Special Prize: Best Integrated Human Practices
Supervised the SDU iGEM team to a Gold Medal and multiple nominations including Best Bioremediation Project and Best Presentation.
iGEM 2019 - SDU Talent Program
Won a Gold Medal as part of the SDU-Denmark team through the extracurricular SDU Talent Program (30 ECTS).
MSc Thesis, University of Southern Denmark, 2022
60 ECTS master project supervised by Asst. Prof. Jesper Grud Skat Madsen, conducted across Functional Genomics and Data Science & Statistics.
The best ideas don't come from staring at a screen. They come from the space between disciplines, between effort and rest, between a good book and a long run.
I lead with conviction and curiosity - and it turns out that maps neatly onto a personality type. The ENFJ-A thrives on helping others grow, sees patterns where others see noise, and brings structure to ambitious ideas. That's me in a computational pipeline, a pharmaceutical data science classroom, a life science AI workshop - and equally, out on a long run or behind a camera lens. Each trait below connects directly to something I do - not as a coincidence, but as a blueprint.
Energised by people, not drained by them. Teaching 60+ researchers, running workshops, and co-founding an AI community aren't tasks I endure - they're where I do my best work.
I see the bigger picture before the details - which is why I naturally bridge biology and AI, connect wet lab data to computational models, and translate scientific complexity into curricula that actually land.
Decisions are guided by impact on people, not just outcomes. That's why mentoring iGEM students, designing inclusive curricula, and investing in the next generation of scientists matters as much as publishing papers.
Structured, decisive, and deadline-driven. Cross-institutional programmes, Docker-based HPC environments, and competition-ready student teams don't materialise without someone who plans and follows through.
Confident under uncertainty. Building AI workflows in a field that didn't have them, supervising teams in international competitions, and shaping national data science strategy all require backing your own judgement.
I'm always in the middle of something - from popular science and biographies to leadership books and AI. A few favourites: Factfulness by Hans Rosling, and Atomic Habits by James Clear.
See what I'm reading on Goodreads →Music is how I recharge. Whether it's discovering new artists, getting lost in a playlist while coding, or experiencing live concerts through a camera lens - it's a constant companion.
Running taught me that small, consistent efforts compound into something remarkable. One kilometre at a time, one day at a time. The same philosophy applies to science, teaching, and building anything meaningful.
Self-taught since 2013, capturing concerts, science events, and life in between. Published by UNICEF, Danmarks Radio, TV2, and Berlingske. Photography taught me to see the story before it unfolds - a skill that transfers directly to data.
See my portfolio at jacobfh.com →More than 20 years in the Danish scouting movement shaped how I think about leadership: it's about enabling others, not directing them. That principle carries into everything I do - from mentoring students to guiding organisations.
From nuclear receptors to GPCRs and transcription factors - explore the 3D structures behind my research. These are the kinds of targets I work with using AlphaFold, ColabFold, and molecular visualization tools.
PDB: 1PRG
Peroxisome proliferator-activated receptor gamma - a nuclear receptor and master regulator of adipogenesis and glucose metabolism. This structure shows the ligand-binding domain bound to rosiglitazone, a thiazolidinedione antidiabetic drug. Central to my BSc thesis on genome-wide PPARγ analysis.
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Educational proteomics tools for biomedical researchers, deployed on UCloud HPC as part of the national Health Data Science Sandbox.
Hands-on protein folding prediction with AlphaFold2 and MMseqs2, designed as a learning resource for students and researchers.
Whether you're a researcher, an educator, or an organisation - there's a specific way I can add value. Pick what resonates.
You have biological data and a question. I help you design and implement the computational workflow - from proteomics and structure prediction to LLM-assisted analysis - so your science moves faster.
From a single hands-on workshop to a full semester course - I design learning experiences that make data science and AI accessible to life science students and clinicians, without losing scientific rigour.
You know AI matters for drug discovery and pharmaceutical R&D - but bridging the gap between hype and implementation is hard. I help organisations build the internal capability and strategic clarity to make it real.
Whether you want to collaborate on data science education, explore AI for your research, or just swap book recommendations - I'd love to hear from you.