On October 2, 2025, the SMART Master Lab Cohort 2.0 wrapped up with a poster presentation session. Over 10 weeks, our Master students worked closely with doctoral researchers and principal investigators before presenting their results to CRC members.

The event opened at 14:30 with remarks from SMART Principal investigator Nadine Binder, followed by guided poster tours in which students presented their projects and discussed main outcomes.

Presentation topics included:

• Designing a Framework for Evaluating Synthetic Benchmark Data from Routine Clinical Care presented by Luke Breitner (Research project A02)
• Applying LLM-as-a-Judge to Synthetic Expert Verdicts on Spinal Muscular Atrophy Data by Surbhi Nair (A03)
• Explainable AI for Disease Gene Prioritization by Rashmi Ambale Gopalakrishna,  (A04)
• Interpretation of Hybrid Models by Hamza Rashid (B02)
• Integration & Calibration of New Process Models (Custom Enzyme Wrapper and Binding: Fortran → C++ → Python) by Yugeshkrishnan Murugan (B02)
• Transductive Inference for Generalized Few-Shot Learning in LiDAR Semantic Scene Segmentation by Pranav Kolar Bhaskarpantula (B04)
• Mitigating Forgetting via Adaptive Control in Class-Incremental Semantic Segmentation under Domain Shift by Vindhya Janardhan (B04)
• Learning Representations of Neuronal Electrophysiological Activity Recordings by Vishwanath Kannali Ramesh (Fusion Hub)
• Methods for Efficient Characterisation of a Latent Space using LLMs by Amal Abed (Fusion Hub)
• Probing Biomedical Knowledge in LLM Activations using Triplet Questions by Kian Kordtomeikel (Fusion Hub)
• Bridging the Gap Between Microscope Modalities via Bijective Mapping of Triangle Features by Bibek Thapa (Fusion Hub)

After the poster discussions, participants joined an open networking session creating space for bilateral scientific discussion and exchange.

The event concluded at 16:30 with closing remarks and the formal handover of certificates by SMART Coordinator Iván Acevedo

Presentation Award

To recognize clear and effective science communication, Kian Kordtomeikel received the Best Presentation Award, selected by a CRC jury based on clarity, coherence, and design.

Thank you Cohort 2.0!

We thank all students, mentors, and CRC members for their contributions to this round of the SMART Master Lab, and the University of Freiburg for providing the space and support that made this event possible

Stay updated on future SMART Master Lab activities: SMART Master Lab – SmallData

Marc Schumacher

Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg