Publications and preprints

Under review

Craig et al. Pretraining and the Lasso. arXiv preprint arXiv:2401.12911 (2024).

Le Menestrel, Craig et al. "Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank." arXiv preprint arXiv:2404.17626 (2024).

Zaslavsky∗, Craig∗ et al. (co-first authorship). “Disease diagnostics using machine learning of immune receptors.” Biorxiv preprint Biorxiv (2022): (2022).

Craig, Zhong and Tibshirani. "Survival stacking: casting survival analysis as a classification problem." arXiv preprint arXiv:2107.13480 (2021).

In press

Hamilton, Craig et al. CAR19 monitoring by peripheral blood immunophenotyping reveals histology-specific expansion and toxicity. Blood Advances (2024).

Craig and Poimenidou. "An Extension of Wolfram’s Rule 90 for One-Dimensional Cellular Automata over Non-Abelian Group Alphabets." A Celebration of the EDGE Program’s Impact on the Mathematics Community and Beyond (2019): 289-316.

Craig, Arias, and Gillman. Predicting Readmission Risk from Doctors' Notes., NeurIPS, Machine Learning for Healthcare. Dec 2017. arXiv:1711.10663.

Sherman, Craig, E. Yanovich, Ketko, Kalmanovich, and R. Yanovich. Standardized Interpretation of Heat-Tolerance-Testing Results: Probability of Intolerance Instead of Specialist Judgment. Journal of Athletic Training, V53 N4. pp. 423-430.

Childers, Craig, Taha, and Poimenidou. A p-adic Approach to Binomial Identities. The Pi Mu Epsilon Journal, Volume 13, Number 3. Fall 2010. pp. 133-142.

In preparation

Craig∗, Keyes∗, et al. (co-first authorship). “MMIL: A novel algorithm for disease associated cell type discovery.” arXiv preprint arXiv:2406.08322: (2024).

Craig, Redelmeier and Tibshirani. "Finding and assessing treatment effect sweet spots in clinical trial data." arXiv preprint arXiv:2011.10157 (2020).

Selected talks

Using the LASSO to identify disease-specific B cell receptors. NLM T15 Training Conference, 2023. Plenary talk.
Earned best talk across 18 biomedical training programs in the US.

Treatment effect sweet spots in clinical trials. Stanford Causal Science Conference, 2023.

Treatment effect sweet spots in clinical trials. Stanford CORES Conference (invited talk), 2023.

Stacking: Survival Analysis as a Classification Problem. AAAI Survival Prediction Symposium (invited talk), 2021.

Predicting Hospital Readmissions from Doctors’ Notes. Hofstra Mathematics Department, 2020.