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Select Recent Publications in Data Science at Stanford

November 12, 2018

SDSI faculty have cumulatively helped to author hundreds of groundbreaking publications between 2017-2018. We asked our faculty to share just one publication they have contributed to, related to data science, that they are particularly proud of and that they would want to be sure that other researchers see. These select publications are listed below and represent the breadth and depth of emerging topics in data science for science, society, and business at Stanford.

Tom Abel

Professor, Physics and SLAC National Accelerator Laboratory.

Banerjee, A., Powell, D., Abel, T., and Villaescusa-Navarro, F. (2018). Reducing noise in cosmological N-body simulations with neutrinos. Journal of Cosmology and Astroparticle Physics, Issue 09, article id. 028.

Russ Altman

Professor, Bioengineering, Genetics, Medicine and Biomedical Data Science

Percha, B., Altman, R. B. (2018). A global network of biomedical relationships derived from text. Bioinformatics, Volume 34, Issue 15, Pages 2614–2624.

Euan Ashley

Professor, Medicine, Genetics, Biomedical Science

Splinter, K., Adams, D.R., Bacino, C.A., …Ashley, E. et al. (2018). Effect of genetic diagnosis on patients with previously undiagnosed disease. The New England Journal of Medicine.

Susan Athey

Professor, Graduate School of Business

Wager, S. and Athey, S. (2018). Estimation and Inference of Heterogeneous Treatment Effects using Random Forests. Journal of the American Statistical Association, 113:523, pp. 1228-1242.

Peter Bailis

Assistant Professor, Computer Science

Rong, K., Yoon, C. E., Bergen, K. J., Elezabi, E., Bailis, P., Levis P., Beroza, G. C. (2018). Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science. VLDB.

Sanjay Basu

Assistant Professor, Medicine

Yadlowsky, S., Hayward, R. A., Sussman, J. B., McClelland, R. L., Min, Y., Basu, S. Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk. Annals of Internal Medicine, 169:20–29.

Mohsen Bayati

Associate Professor, Graduate School of Business

Bastani, H. and Bayati, M. (2017). Online Decision-Making with High-Dimensional Covariates. SSRN

Eran Bendavid

Associate Professor, Medicine

Wagner, Z., Heft-Neal, S., Zulfiqar, A., Bhutta, R. E., Black, M. B., Bendavid, E. (2018). Armed Conflict and Child Health in Africa. Lancet. Volume 392 (Issue 10150), pp. 857-865.

Michael Bernstein

Assistant Professor, Computer Science

Cheng, J., Bernstein, M., Danescu-Niculescu-Mizil, C., Leskovec, J. (2017). Anyone can become a troll: Causes of trolling behavior in online discussions. CSCW: proceedings of the Conference on Computer-Supported Cooperative Work. pp. 1217–1230.

Dan Boneh

Professor, Computer Science and Electrical Engineering

Corrigan-Gibbs, H. and Boneh, D. (2017). Prio: Private, Robust, and Scalable Computation of Aggregate Statistics. NSDI, pp. 76-81.

John M. Chambers

Adjunct Professor, Statistics

Chambers, J. M. (2016). Extending R. Chapman & Hall/ CRC Press.

Zakir Durumeric

Assistant Professor, Computer Science

Antonakakis, M., April, T., Bailey, M., Bernhard, M., Bursztein, E., Cochran J., Durumeric, Z., Halderman, J. A., Invernizzi, L., Kallitsis, M., Kumar, D., Lever, C., Ma, Z., Mason, J., Menscher D., Seaman, C., Sullivan, N., Thomas, K., Zhou, Y. (2018). Understanding the Mirai Botnet. USENIX Security Symposium (USENIX Security).

Stefano Ermon

Assistant Professor, Computer Science

Oshri B., Hu, A., Adelson, P., Chen, X., Dupas, P., Weinstein, J., Burke, M., Lobell, D., Ermon (2018). Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. In KDD-18. Proc. 24th ACM SIGKDD Conference. Pages 616-625.

Michael Genesereth

Associate Professor, Computer Science

Genesereth, M. and Mohapatra, A. (2018). A Practical Algorithm for Reformulation of Deductive Databases. Technical Report, Logic Group, Stanford University.

Sharad Goel

Assistant Professor, Management Science and Engineering

Amir Goldberg

Associate Professor, Graduate School of Business

Srivastava, S. B., Goldberg A., Govind Manian, V., and Potts, C. (2017). Enculturation trajectories: Language, cultural adaptation, and individual outcomes in organizations. Management Science, Volume 64 (no. 3), pp. 1348-1364.

Dan Jurafsky

Professor, Computer Science and Linguistics

Voigt, R., Camp, N. P., Prabhakaran, V., Hamilton, W. L., Hetey, R. C., Griffiths, C. M., Jurgens, D., Jurafsky, D., and Eberhardt, J. L. (2017). Language from police body camera footage shows racial disparities in officer respect. PNAS, 114 (25) pp. 6521-6526.

Joshua W. Knowles

Assistant Professor, Medicine

Knowles, J. W., Ashley, E. A. (2018). Cardiovascular disease: The rise of the genetic risk score. PLOS Medicine, 15(3): e1002546.

Monica Lam

Professor, Computer Science

Campagna, G., Xu, S., Ramesh, R., Fischer, M., and Lam, M. S. (2018). Controlling Fine-Grain Sharing in Natural Language with a Virtual Assistant. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vo. 2, No. 3.

Jure Leskovec

Associate Professor, Computer Science

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., and Mullainathan, S. (2017). Human Decisions and Machine Predictions. Quarterly Journal of Economics, Volume 133, Issue 1, pp 237–293.

Philip Levis

Associate Professor, Computer Science and Electrical Engineering

Omid Mashayekhi, Hang Qu, Chinmayee Shah, and Philip Levis. (2017). Execution Templates: Caching Control Plane Decisions for Strong Scaling of Data Analytics. In Proceedings of the 2017 USENIX Annual Technical Conference (USENIX ATC '17)

Balasubramanian Narasimhan

Senior Researcher, Statistics and Biomedical Data Sciences

S. Palkar, J. Thomas, D. Narayanan, P. Thaker, R. Palamuttam, P. Negi, A. Shanbhag, M. Schwarzkopf, H. Pirk, S. Amarasinghe, S. Madden and Zaharia, M. (2018). Evaluating End-to-End Optimization for Data Analytics Applications in Weld, VLDB.

Jennifer Pan

Assistant Professor, Communications

Pan, J. and Chen, K. (2018). Concealing Corruption: How Chinese Officials Distort Upward Reporting of Online Grievances. American Political Science Review, Volume 112 (Issue 3): pp. 602-620.

Christopher Potts

Professor, Linguistics

Monroe, W., Hawkins, R., Goodman, N. D., Potts, C. (2017). Colors in context: a pragmatic neural model for grounded language understanding. Transactions of the Association for Computational Linguistics, volume 5, pp. 325-338.

Rob Reich

Professor, Political Science

Laitin, D. and Reich, R. (2017). Trust, Transparency, and Replication in Political Science. PS: Political Science & Politics. 50. 172-175.

Daniel Rubin

Professor, Biomedical Data Science, Radiology, Medicine

Chang, K., Balachandar, N., Lam, C., Yi, D., Brown, J., Beers A., Rosen B., Rubin D. L., Kalpathy-Cramer, J. (2018). Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, Volume 25 (Issue 8), pp. 945–954.

Ariel Schwartzman

Associate Professor, Particle Physics and Astrophysics

de Oliveira, L., Kagan, M., Mackey, L. Nachman, B., Schwartzman, A. (2016). Jet-images — deep learning edition. Journal of High Energy Physics. 2016: 69.

Nigam Shah

Associate Professor, Biomedical Informatics Research and Biomedical Data Science

Ransohoff J. D., Nikfarjam A., Jones E., Loew B., Kwong B. Y., Sarin K. Y., Shah N.H. (2018). Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning. JAMA Oncology, Volume 4(4), pp. 581-583.

Michael Snyder

Professor, Genetics

Jiang, C., Wang, X., Li X, Inlora, J., Wang, T., Liu, Q., Snyder M. (2018). Dynamic Human Environmental Exposome Revealed by Longitudinal Personal Monitoring. Cell, Volume 175, Issue 1, pp. 277-291.E31.

Jonathan Taylor

Professor, Statistics

Taylor, J. (2018). A selective survey of selective inference. Proc. Int. Cong. of Math. Rio de Janeiro, Vol. 3 (3005–3024).

Ge Wang

Associate Professor, Music

Risa Wechsler

Associate Professor, Physics, Particle Physics and Astrophysics

Perreault Levasseur, L.; Hezaveh, Y.; Wechsler, R.(2017)Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing. The Astrophysical Journal Letters, Volume 850, Issue 1, article id. L7, 5 pp.

Tsachy Weissman

Professor, Electrical Engineering

Pavlichin, D. and Weissman, T. (2018). The Quest To Save Genomics. IEEE Spectrum.

Matei Zaharia

Assistant Professor, Computer Science

Palkar, S., Thomas, J., Narayanan, D., Thaker, P., Palamuttam, R., Negi, P., Shanbhag, A., Schwarzkopf, M., Pirk, H., Amarasinghe, S., Madden, S., and Zaharia, M. (2018). Evaluating End-to-End Optimization for Data Analytics Applications in Weld. VLDB.

James Zou

Assistant Professor, Biomedical Data Science

Abid, A., Zhang, M., Bagaria, V., Zou, J. (2018). Exploring patterns enriched in a dataset with contrastive principal component analysis. Nature Communications.volume 9, Article number: 2134