Now seeking Summer 2027 internships
I am looking for Summer 2027 research and applied-science internships in ML systems, reinforcement learning, simulation, generative AI, and AI agents. I am particularly interested in:
- Agentic scientific discovery and closed-loop experimental systems
- Autonomous laboratories and laboratory automation
- AI agents for science (planning, orchestration, and fault recovery)
- ML for drug discovery and protein design
- Foundation models and generative models for biological sequences
- Computational methods for single-cell analysis
- Sim-to-real transfer, reinforcement learning, and MuJoCo for laboratory simulation
- 3D simulation and world models
- ML systems
Most recently, I led CMU’s work using the Model Hardware Standard (MHS) in the limited research preview. I built drivers and orchestration so an AI agent could coordinate a liquid handler, plate reader, robotic arm, and cameras for closed-loop dose-response experiments within device-declared safety bounds. Nature covered the experiments on 24 September 2026.
I have experience developing PyTorch research code, running large-scale experiments on HPC clusters, integrating physical lab instruments with AI agents, and publishing in ChemBioChem, PLOS Computational Biology, and Bioinformatics Advances.
If your team works at the intersection of machine learning, autonomous labs, and scientific discovery, I would be happy to connect.
Contact: sbarazan@andrew.cmu.edu