Tom Graner

Project BIKO-UA • Training and optimization of 3D-CNNs (nn-Unet, ResNet, YOLO) for identification of fallen soldiers via sphenoid sinus CT scans. • Management of high-performance computing tasks on NVIDIA A100 servers. • Data normalization and preprocessing of large-scale medical imaging datasets.

• Conducted independent research in neurobiology with a strong focus on membrane proteins (α-synuclein, synapsin Ia). • Completed Bachelor thesis: "Time-resolved fluorescence microscopy for understanding liquid-liquid demixing in biology". • Applied advanced microscopy techniques and performed comprehensive data analysis.

• Managed buffer and media production for large-scale antibody cultivation. • Strictly adhered to Good Manufacturing Practice (GMP) guidelines and precise documentation standards.

Executed traditional carpentry, structural planning, and complex roof construction.

Executed traditional carpentry, structural planning, and complex roof construction.

Focus: Artificial Intelligence in Bioinformatics, Generative AI & MLOps Master Thesis: "Spatio-Temporal Disease Forecasting (Leishmania)" • Architected an End-to-End MLOps Pipeline featuring a custom Spatio-Temporal Diffusion Transformer (DiT). • Deployed the inference model as a REST API using Fa

Focus: Independent research in neurobiology, membrane proteins (α-synuclein, synapsin Ia) Bachelor Thesis: "Time-resolved fluorescence microscopy for understanding liquid-liquid demixing in biology"

Traditional craftsmanship, structural planning, and hands-on execution