Open-Source & Community Projects

RecList: Behavioral "black-box" testing for recommender systems [GitHub] [arXiv]
MLOps Learning: A community of learners who came together to explore the world of MLOps! (For example, we designed Twitter's trending hashtag feature here) [website] [GitHub]

Publications

Chrisman, B., He, C., Jung, JY. et al. Transmission dynamics of human herpesvirus 6A, 6B and 7 from whole genome sequences of families. Virol J 19, 225 (2022). https://doi.org/10.1186/s12985-022-01941-9
Chrisman, B., He, C., Jung, JY. et al. The human “contaminome”: bacterial, viral, and computational contamination in whole genome sequences from 1000 families. Sci Rep 12, 9863 (2022). https://doi.org/10.1038/s41598-022-13269-z
Chia, P. J., Tagliabue, J., Bianchi, F., He, C., & Ko, B. (2022). Beyond NDCG: behavioral testing of recommender systems with RecList. WWW '22: Proceedings of The ACM Web Conference 2022.
Chi, N. A., Washington, P., Kline., A., Husic, A., Hou, C., He, C., Dunlap, K., & Wall, D. (2022). Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach. JMIR Pediatrics and Parentinghttp://dx.doi.org/10.2196/35406
Chrisman, B., Paskov, K., He, C., Jung, J.-Y., Stockham, N., Washington, P., & Wall, D. (2022). A Method for Localizing Non-Reference Sequences to the Human Genome. Proceedings of the Pacific Symposium on Biocomputing, 27:313-324(2022). https://psb.stanford.edu/psb-online/proceedings/psb22/chrisman.pdf
Chrisman, B., He, C., Washington, P., Paskov, K., Stockham, N., Jung, J.-Y., Wall, D., & Varma, M. (2021). Mapping the Unmapped Readspace in Whole Genome Sequencing Data: The Blood Microbiome of 1,000 Families. AMIA Informatics Summit Proceedings, 698–699.
Zhao, R., Afthinos, A., Zhu, T., Mistriotis, P., Li, Y., Serra, S. A., Zhang, Y., Yankaskas, C. L., He, S., Valverde, M. A., Sun, S. X., & Konstantopoulos, K. (2019). Cell Sensing and decision-making in confinement: The role of trpm7 in a tug of war between hydraulic pressure and cross-sectional area. Science Advances, 5(7). https://doi.org/10.1126/sciadv.aaw7243

Talks

Nov 3, 2022: Real-time Machine Learning: Challenges and Solutions, Google Pacific Region DevFest [recording] [slides]
June 19, 2022: Building Blocks of RecSys: Crash Course on Recommender Systems, RecSys Series at MLOps Learners Community [recording] [slides]
Mar 23, 2022: Beyond NDCG: Behavioral Testing for Recommender Systems, NVIDIA GTC [recording]
Jan 26, 2022: Evaluation for RecSys, CS 329S (Machine Learning Systems Design) at Stanford [slides]
Jan 24, 2022: Distributed Training, CS 329S (Machine Learning Systems Design) at Stanford [slides]
Mar 22, 2021: Mapping the Unmapped Readspace in Whole Genome Sequencing Data: The Blood Microbiome of 1,000 Families, AMIA 2021 Virtual Informatics Summit