About me
I’m a Postdoctoral Research Fellow in the NeuroAI and Geometry Data Analysis Lab at Harvard University. I work on developing a geometric characterization of predictive representations in artificial and biological neural networks.
I completed my PhD in the Zenke Lab at the Friedrich Miescher Institute in Basel, Switzerland. I worked on understanding the mathematical principles behind predictive self-supervised learning in order to see if and how the brain could be learning in a similar way. In the past, I studied Electrical Engineering at the Indian Institute of Technology in Madras, and Robotics at the École polytechnique fédérale de Lausanne. I also spent a fun half year interning with the Robotics AI team in Amazon, Berlin.
Publications



Iwane, F., Halvagal, M. S., Iturrate, I., Batzianoulis, I., Chavarriaga, R., Billard, A., & Millán, J. D. R.
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
( paper )
News
- Defended my PhD thesis on “Predictive Self-Supervised Learning in Brains and Machines” (April 2025)
- Presented a poster at Bernstein 2024
- Presented a talk and tutorial at the Janelia Junior Scientist Workshop for Theoretical Neuroscience 2023
- Presented a poster at NeurIPS 2023 (main conference)
- Presented a poster at the Self-Supervised Learning Workshop at NeurIPS 2022
- Presented a poster at Bernstein 2022
- Presented a poster at Cosyne 2022