Sharon Xu Lin is a poet and essayist. Her work appears in The New York Review of Books, WIRED, Denver Quarterly, Wildness, The Offing, and elsewhere and is anthologized in Best New Poets 2021 and Voices of the East Coast (Penmanship Books).She is a Fulbright Fellow and a former New York City Youth Poet Laureate. She has received support from Kundiman, Art Omi, GrubStreet, Tin House, Periplus, and others.She lives in London, UK.

“50 Observations Unearthed in Layers” - The Journal (forthcoming)
"My Family Wants Me to Forget Our Tragedies" - Tinderbox
“Conservation” - DIAGRAM
“I Meet the New Pigeon Lady in Union Square” - The Harvard Advocate
“Programming Languages as Letters to Women I Loved Before” - Denver Quarterly
“Where Upon the Western Front” - Sine Theta
- Nominated for the Pushcart Prize
“Confession”, “My Bisexuality Wavers” - Diode
“Diasporic” - The Adroit Journal
“Every Body is an Electric Body” - The Oyez Review
“An Offering at the Altar” - Sine Theta (republished in Best New Poets 2021)
“1988, Min River Valley” - Sine Theta
- Nominated for the Pushcart Prize

"Arachnophobia", "Snakeskin" - The Offing
“Common Flower Parts" - Chestnut Review
“Salt" - Wildness (republished in Sinostories)
“Honing My Knife Skills” - The New York Review of Books
“The Long Shadow of the 'Nigerian Prince' Scam” - WIRED
"The Golden Age Of Ever-Changing Computer Architecture" - Hackaday
“On Franny Choi’s The World Keeps Ending, and the World Goes On - Los Angeles Review of Books
“Follow Your Nose” - Design & Science (Bloomsbury)

[email protected]@sharontlin on Twitter
@sharontlin on Instagram


I'm a security researcher interested in machine learning systems and vulnerability detection.Currently, I am a security engineer at Google DeepMind. I received my bachelors in electrical engineering and computer science from MIT, where I worked with the Parallel and Distributed Operating Systems (PDOS) group at CSAIL.Previously, I was a machine learning engineer at Abnormal Security and an intern at Microsoft, Cisco Meraki, Trail of Bits, and several startups. I was also an investor at Contrary and a co-founder of a govtech startup.


Lin, S., Paar, C. MoAT: A Meta-Evaluation of Anti-Malware Trustworthiness. Conference on Neural Information Processing Systems (NeurIPS) ML Safety Workshop 2022. Paper PosterLin, S., Głuszak, A., Böcker, S., Fyrbiak, M., Bissantz, N., Paar, C. Unsupervised Segmentation of Multivariate Images for Hardware Reverse Engineering. Mediterranean Machine Learning (M2L) Summer School 2022. Poster


Lin, S.*, Maccow, S.*, Vadari, M.*, Baral, A.* Security Analysis of Browser Auto-fill and Password Managers. MIT 6.857 Final Project. Paper* equal contribution


Sep 2023: Attended Nullcon in Goa, India
Oct 2022: Completed Baseband RE Training at in Den Haag
Sep 2022: Attended M2L in Milan, CHES in Leuven
Jul 2022: Attended EEML in Vilnius (virtual)
Jun 2022: Attended MLSS in Kraków
Mar 2022: Started at the Max Planck Institute for Security and Privacy (MPI-SP)
Feb 2022: Completed TEE RE Training at OffensiveCon in Berlin
Aug 2020: Attended ICFP via PLMW
Aug 2018: Competed at DEFCON in Las Vegas [1, 2]
Sep 2017: Attended Grace Hopper Celebration in Orlando [1]