Scholar
Chandan Singh
Google Scholar ID: vPYz4QwAAAAJ
Senior researcher, Microsoft research
Citations & Impact
Citations
6,428
H-index
20
i10-index
26
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Evaluating scientific theories as predictive models in language neuroscience', 'Mixture of Inputs', 'Interpretable Language Modeling via Induction-head Ngram Models', and more; involved in projects such as OmniGuard and systematic bias assessment in clinical decision instrument development.
Research Experience
- Senior researcher at Microsoft Research (Deep Learning Group); extensive research experience in the interpretability of neural networks, fMRI responses to language, and clinical decision rules.
Education
- PhD from UC Berkeley, advised by Prof. Bin Yu.
Background
- Research interests include interpretability methods, semantic brain mapping, and clinical decision rules. Currently focused on LLM interpretability, augmented iModels, attention steering, explanation penalization, and adaptive wavelet distillation.
Miscellany
- Personal interests include open-source ML, causal inference, complexity theory, disentanglement, deep learning theory, and more.
