Larry Dong (@larryshamalama) 's Twitter Profile
Larry Dong

@larryshamalama

Biostatistics PhD student @UofT_dlsph | Prev. @McGillEBOH and @DPHgraduateprog | Core dev @pymc_devs 🚀

ID: 1255420313065656326

linkhttp://larrydong.com/ calendar_today29-04-2020 08:55:06

260 Tweet

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518 Takip Edilen

Rémi 📎 (@remilouf) 's Twitter Profile Photo

We’re looking for a (technical) dev rel to do a lot of cool stuff with Outlines & the work we do internally on structured generation .txt. DMs open 😊

Normal Computing 🧠🌡️ (@normalcomputing) 's Twitter Profile Photo

We're excited to announce posteriors! posteriors is an open-source Python library designed to make it as easy as possible to apply uncertainty quantification to deep learning models with PyTorch. github.com/normal-computi…

aloctavodia.bsky.social (@aloctavodia) 's Twitter Profile Photo

I'm planning to move to Europe with my family and in the coming months, I'll be actively seeking opportunities in Bayesian statistics and data science roles. If you're aware of any exciting positions, please reach out! aloctavodia.github.io

Rémi 📎 (@remilouf) 's Twitter Profile Photo

Looking for a *senior* dev to take the lead on outlines and other OSS initiatives at .txt. Experience with OSS libs is a huge plus. Send DM :)

Charles Margossian (@charlesm993) 's Twitter Profile Photo

A gem of a preprint on self-tuning Hamiltonian Monte Carlo, written by Nawaf Bou-Rabee, Bob Carpenter, and Milo Marsden. arxiv.org/pdf/2404.15253 GIST presents a competitive alternative to NUTS and is much more straightforward to implement.

A gem of a preprint on self-tuning Hamiltonian Monte Carlo, written by Nawaf Bou-Rabee, Bob Carpenter, and Milo Marsden. arxiv.org/pdf/2404.15253

GIST presents a competitive alternative to NUTS and is much more straightforward to implement.
Jeremy Rubin (@super_jrub) 's Twitter Profile Photo

Shameless plug for myself, updated personal website just dropped: sites.google.com/umbc.edu/jerem… Feel free to check out the website if you'd like to know more about my background! With a prospective graduation in a about a year, also interested in employment as a biostatistician 👀

Guohao Li (Hiring!) 🐫 (@guohao_li) 's Twitter Profile Photo

👇 𝑀𝑎𝑦 𝑛𝑜𝑡 𝑏𝑒 𝑡ℎ𝑒 𝑠𝑎𝑚𝑒 𝑐𝑎𝑠𝑒. Just a unpleasant story: Once, I posted something here between our paper and the other paper from a big tech. I was not asking for a citation but just wanted to clarify because their work is so popular that people keep asking me

Dan Gerlanc (@dgerlanc) 's Twitter Profile Photo

What if structured generation was faster than unstructured… From the team at .txt blog.dottxt.co/selective-mult… We’re hiring: jobs.ashbyhq.com/dottxt

Jasper Zhang (@jasperzyzhang) 's Twitter Profile Photo

🚀 Introducing SurvdigitizeR! Tired of manually extracting survival probabilities from KM curves? 📷 Our new publication presents SurvdigitizeR – an open-source, automated solution from the Petros Pechlivanoglou Lab at SickKids! Read more: rdcu.be/dODCF

🚀 Introducing SurvdigitizeR!  Tired of manually extracting survival probabilities from KM curves? 📷 Our new publication presents SurvdigitizeR – an open-source, automated solution from the
<a href="/PPechlivanoglou/">Petros Pechlivanoglou</a>
Lab at SickKids! Read more: rdcu.be/dODCF
Jeremy Rubin (@super_jrub) 's Twitter Profile Photo

Hoping to graduate with a PhD in biostatistics in Spring 2025 and looking at post-grad employment. Can you imagine how fun it would be to work with me based on my tweets? Check out my personal website to learn more about my background and interests! sites.google.com/umbc.edu/jerem…

田栗の部屋 (@tagurindods) 's Twitter Profile Photo

昨日、トロント大学のLarry Dong氏に「Bayesian estimation of optimal treatment regimes using irregularly observed data」というタイトルでご講演いただきました!動的治療レジメの話は当研究室にも興味のあるメンバーが多く、質疑も活発で良い交流の機会になりました。

昨日、トロント大学のLarry Dong氏に「Bayesian estimation of optimal treatment regimes using irregularly observed data」というタイトルでご講演いただきました!動的治療レジメの話は当研究室にも興味のあるメンバーが多く、質疑も活発で良い交流の機会になりました。