Pisanu (Ize) Buphamalai, PhD

Graph Therapeutics · Vienna, AT

Principal Scientist

• Machine learning and multimodal data integration for target discovery in inflammation and immunology.
• Working closely with experimental teams to close the loop between high-throughput experiments and models.

Exscientia / Recursion · Vienna, AT

Senior Scientist, Multimodal Discovery Lab

Computational Research Scientist, Translational Bioinformatics

Exscientia became part of Recursion in Nov 2024.

• Built a patient-first framework on primary multimodal data, from understanding cancer biology to discovering next-gen targets.
• Optimised efficient learning loops with bench scientists in sample-constrained settings.

CeMM & Max Perutz Labs · Vienna, AT

Predoctoral Fellow

with Jörg Menche (supervisor)

• Developed graph-based tools that maximise context relevance of multiple data resources before integration.
• Improved rare disease gene prioritisation and linked genotype to phenotype through multiplex gene networks.

[Thesis]

Saez-Rodriguez Lab · RWTH Aachen, DE

Master's Research Student — Transporter repertoires as determinants of cellular cancer drug response.[thesis]

Probabilistic Machine Learning Group · Aalto University, FI

Graduate Intern — Group Factor Analysis for latent variables in mixed continuous/discrete multi-omics data. · with Samuel Kaski, Pekka Marttinen

Medical University of Vienna · Vienna, AT

PhD, Medical Informatics & Complex Systems

KTH Royal Institute of Technology & Aalto University · Stockholm, SE / Helsinki, FI

MSc (Tech), Computational Systems Biology — Erasmus Mundus scholar

Mahidol University · Bangkok, TH

BSc Physics, First Class Honours

Target Validation – In the Era of Genomics, Big Data, and AI · Wellcome Genome Campus, UK

poster Quantifying ex vivo model realism for novel target discovery in inflammatory diseases[summary][full poster]

CytoData 2025

poster Decoding the functional and molecular niche of immune-mediated disease for iterative target discovery[summary]

TechBio Transformers Vienna Meetup · Vienna, AT

organizer [post]

ISMB/ECCB 2023 · Lyon, FR

poster A computational framework for discovering novel targetable pathways by integrating functional and multi-omics data from primary model systems

EMBO Workshop: Integrating Systems Biology · Heidelberg, DE ★ Best Poster Award

poster

Winning team, CytoData 2019 hackathon — Compound target and MoA prediction from cellular morphology.

Lindau Nobel Laureate Meeting (Physics) — Nominated by the Austrian Academy of Sciences.

Outstanding Poster Award, EMBO Workshop on Network Biology — EMBL Heidelberg.

Erasmus Mundus Master's Scholarship — European Commission, full scholarship.

Regional Lead, Vienna — TechBio Transformers

Multiplex network maps all genes and interactions on multiple levels to help understand rare disease mechanisms — GEN

Gen-Netzwerk erleichtert Suche nach seltenen Krankheiten (German) — ORF