About - Michael Ivanitskiy

Iโ€™m a PhD candidate in Applied Mathematics, with a research focus is on mechanistic interpretability techniques, specifically for improving the safety of transformer-based AI systems. Iโ€™m also interested in symmetries in loss landscapes of neural networks and their applications in understanding the internals of said networks. Iโ€™ve previously worked on projects in game theory, computational neuroscience, and computer vision. For more on my research, see here.

Outside of research, I like hiking, rock climbing, and fossil hunting. I am big fan of old sci-fi novels, particularly of the works of Arthur C. Clarke. I also have a number of open, most of which are tooling for either ML research or personal knowledge management systems.

Contact me: mivanits ๐Ÿ‡ฆโ€‹โ€‹โ€‹โ€‹โ€‹๐Ÿ‡นโ€‹โ€‹โ€‹โ€‹โ€‹ mines ๐Ÿ‡ฉโ€‹โ€‹โ€‹โ€‹โ€‹๐Ÿ‡ดโ€‹โ€‹โ€‹โ€‹โ€‹๐Ÿ‡นโ€‹โ€‹โ€‹โ€‹โ€‹ ๐Ÿ‡ชโ€‹โ€‹โ€‹โ€‹โ€‹๐Ÿ‡ฉโ€‹โ€‹โ€‹โ€‹โ€‹๐Ÿ‡บโ€‹โ€‹โ€‹โ€‹

Iโ€™ll be at NeurIPS 2023! Please feel free to email or message me if youโ€™d like to meet. Iโ€™ll be presenting work on mechanistic interpretability for transformers trained on offline RL at the UniReps workshop poster session on Friday, December 15th @ 3:15pm. Poster Link.

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