Connor Duffy

Stanford Genetics Ph.D. candidate.; MIT Computer Science and Molecular Biology '17

San Francisco, California, United States of America

Research Interests

genetics
neuroscience
computation
Oncology
Cancer Research
Biotechnology
Biochemistry
Biomaterials
Biomedical Engineering
Molecular Biology
Cell Biology
Pathology and Forensic Medicine
Histology

About

Connor Duffy is a 5th year PhD student in Genetics at Stanford, where he is using CRISPR screens in stem cell-derived brain organoids to study the genetic architecture of Alzheimer's disease risk. Connor graduated from MIT with a degree in Computer Science and Molecular Biology, where he played piano in the Chamber Music Society, served as president of the Debate Team, and created Science Olympiad at MIT, an organization that runs science tournaments for high school students. After college and before starting his PhD, he co-founded Reverie Labs, a machine learning-driven biotech company backed by Y Combinator, and was also a Data Insights Engineer at Flatiron Health.

Publications

ecDNA hubs drive cooperative intermolecular oncogene expression

Nature / Nov 24, 2021

Hung, K. L., Yost, K. E., Xie, L., Shi, Q., Helmsauer, K., Luebeck, J., Schöpflin, R., Lange, J. T., Chamorro González, R., Weiser, N. E., Chen, C., Valieva, M. E., Wong, I. T.-L., Wu, S., Dehkordi, S. R., Duffy, C. V., Kraft, K., Tang, J., Belk, J. A., … Chang, H. Y. (2021). ecDNA hubs drive cooperative intermolecular oncogene expression. Nature, 600(7890), 731–736. https://doi.org/10.1038/s41586-021-04116-8

Genome-wide CRISPR screens of T cell exhaustion identify chromatin remodeling factors that limit T cell persistence

Cancer Cell / Jul 01, 2022

Belk, J. A., Yao, W., Ly, N., Freitas, K. A., Chen, Y.-T., Shi, Q., Valencia, A. M., Shifrut, E., Kale, N., Yost, K. E., Duffy, C. V., Daniel, B., Hwee, M. A., Miao, Z., Ashworth, A., Mackall, C. L., Marson, A., Carnevale, J., Vardhana, S. A., & Satpathy, A. T. (2022). Genome-wide CRISPR screens of T cell exhaustion identify chromatin remodeling factors that limit T cell persistence. Cancer Cell, 40(7), 768-786.e7. https://doi.org/10.1016/j.ccell.2022.06.001

Covalently-crosslinked mucin biopolymer hydrogels for sustained drug delivery

Acta Biomaterialia / Jul 01, 2015

Duffy, C. V., David, L., & Crouzier, T. (2015). Covalently-crosslinked mucin biopolymer hydrogels for sustained drug delivery. Acta Biomaterialia, 20, 51–59. https://doi.org/10.1016/j.actbio.2015.03.024

Genome-wide, bidirectional CRISPR screens identify mucins as critical host factors modulating SARS-CoV-2 infection

Apr 23, 2021

Biering, S. B., Sarnik, S. A., Wang, E., Zengel, J. R., Sathyan, V., Nguyenla, X., Van Dis, E., Catamura, C., Yamashiro, L. H., Begeman, A., Stark, J. C., Shon, D. J., Fox, D. M., Puschnik, A. S., Bertozzi, C. R., Carette, J. E., Stanley, S. A., Harris, E., Konermann, S., & Hsu, P. D. (2021). Genome-wide, bidirectional CRISPR screens identify mucins as critical host factors modulating SARS-CoV-2 infection. https://doi.org/10.1101/2021.04.22.440848

Tabula Microcebus: A transcriptomic cell atlas of mouse lemur, an emerging primate model organism

Dec 12, 2021

Ezran, C., Liu, S., Chang, S., Ming, J., Botvinnik, O., Penland, L., Tarashansky, A., de Morree, A., Travaglini, K. J., Hasegawa, K., Sin, H., Sit, R., Okamoto, J., Sinha, R., Zhang, Y., Karanewsky, C. J., Pendleton, J. L., Morri, M., … Krasnow, M. A. (2021). Tabula Microcebus: A transcriptomic cell atlas of mouse lemur, an emerging primate model organism. https://doi.org/10.1101/2021.12.12.469460

Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targeting

Cell Systems / Dec 01, 2023

Wei, J., Lotfy, P., Faizi, K., Baungaard, S., Gibson, E., Wang, E., Slabodkin, H., Kinnaman, E., Chandrasekaran, S., Kitano, H., Durrant, M. G., Duffy, C. V., Pawluk, A., Hsu, P. D., & Konermann, S. (2023). Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targeting. Cell Systems, 14(12), 1087-1102.e13. https://doi.org/10.1016/j.cels.2023.11.006

Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

Nov 19, 2021

Zhao, J., Wang, G., Ming, J., Lin, Z., Wang, Y., Wu, A. R., & Yang, C. (2021). Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets. https://doi.org/10.1101/2021.11.16.468892

An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome

Dec 14, 2021

Liu, S., Ezran, C., Wang, M. F. Z., Li, Z., Awayan, K., Long, J. Z., De Vlaminck, I., Wang, S., Epelbaum, J., Kuo, C., Terrien, J., Krasnow, M. A., & Ferrell, J. E. (2021). An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome. https://doi.org/10.1101/2021.12.13.472243

Mouse lemur transcriptomic atlas elucidates primate genes, physiology, disease, and evolution

Aug 07, 2022

Ezran, C., Liu, S., Ming, J., Guethlein, L. A., Wang, M. F. Z., Dehghannasiri, R., Olivieri, J., Frank, H. K., Tarashansky, A., Koh, W., Jing, Q., Botvinnik, O., Antony, J., Chang, S., Pisco, A. O., Karkanias, J., Yang, C., Ferrell, J. E., … Krasnow, M. A. (2022). Mouse lemur transcriptomic atlas elucidates primate genes, physiology, disease, and evolution. https://doi.org/10.1101/2022.08.06.503035

Education

Stanford University

Ph.D., Genetics / January, 2025 (anticipated)

Stanford, California, United States of America

Massachusetts Institute of Technology

S.B., Computer Science and Molecular Biology / February, 2017

Cambridge, Massachusetts, United States of America

Experience

Flatiron Health

Data Insights Engineer / October, 2018October, 2019

oncology data and software

Reverie Labs

Co-Founder / September, 2017September, 2018

computation-driven drug discovery; acq. Ginkgo Bioworks (NYSE: DNA)

Join Connor on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts