Passion fuels purpose.

Advanced a DoD/DARPA anesthesia program to Phase II clinical trials by architecting an AI-driven drug discovery platform that screened 2.5B small molecules and generated 100,000+ AlphaFold-based receptor conformations. Cut experimental candidate testing 60% with GPU-accelerated simulation coupled to active-learning docking triage and ADMET/QSAR profiling.

Architected Revilico's core computational drug-discovery platform — GPU-accelerated, production-grade simulation infrastructure uniting docking, FEP, GROMACS, ADMET/QSAR, NVIDIA Parabricks, multi-omics, and quantum-chemistry workflows into a single operating system for drug discovery, built from the ground up with Claude-based agentic tooling.

Resolved ~20 client-facing technical issues daily and improved pipeline reliability by designing reproducible multi-omics workflows across HPC for WES/WGS/RNA-seq/scRNA-seq/ATAC-seq, automating NGS analysis with the DKFZ One Touch Pipeline database.

Implemented the HI-TRON data portal backend and frontend, improving data accessibility through MOLGENIS, Vue.js and FAIR practices, and gathered requirements from biologists, trial designers, and clinicians.

Developed a combinatorial synergy-based drug design pipeline targeting photoaging and hyperpigmentation, leading to a peer-reviewed publication. Focused on Computer-Aided Drug Design (CADD) methodology.

Founded a bioinformatics consultancy for the pharmaceutical industry, owning strategy, policy, and financial planning. Led budgeting, coordination, and delivery of confidential pharma projects from scope definition through to deliverables.

Organized two international longevity hackathons, mentoring participants and building connections across the scientific and entrepreneurial communities.

Built machine learning models and NGS pipelines for automated analysis of exhaled breath samples, supporting clinical and bioinformatics analysis that contributed to successful funding acquisition.

Applied multi-omics and bioinformatics approaches to vaccine design and therapeutic intervention. Filed patent WO2023217787 for a clinical vaccine candidate targeting antiviral therapy.

Produced 2 peer-reviewed publications and 1 US patent by developing predictive clinical ML models for patient stratification from genomic and antibody-profiling data. Engineered immunoinformatics pipelines processing 2TB+ multimodal clinical datasets, enabling 3 ongoing clinical trials.

Originated GENOME2QUNOME, the first quantum-to-biological modelling framework, bridging DFT-based 2D-material simulation with atomistic modelling for nanopore sensing and bio-inspired materials. Informed material selection for industry partner Hitachi ABB through ab initio electronic and thermal-transport studies.

Cut manual runtime 70% and improved alignment speed 2.5× by engineering high-throughput WES/WGS variant-calling pipelines processing 200+ clinical samples/month with HPC parallelization. Co-authored a Nature Medicine publication on clonal hematopoiesis trajectories with the European MDS Working Group.

In-depth tutorials on bioinformatics tools, techniques, and software for beginners through to advanced users.