André Nguyen

For those of you at @Winter_QBio: tomorrow morning, @AndreNguyen16 presents our new research on estimating the effects of mutations outside the #CDR3 region on #TCR-#epitope binding in the context of primary human T cells. Puerto Rico Ballroom 5 at 8:40 a.m Wednesday! 1/n

If you are interested in techniques for #Tcellreceptor #affinitymaturation for #AdoptiveCellTherapy, please reach out, or see our presentation at the upcoming @Winter_QBio! @AndreNguyen16 will be presenting on behalf of the whole @jura_Bio #ML team. 3/3

I have never been prouder of our #ML pipeline than these past few weeks as multiyear projects have begun to converge: now we have more experiments to run. Is anyone with a background in immunology #wetlab experience looking for #researchscientist roles at the moment? #Boston area

Oooh! Our work on determining contributions to binding outside of the CDR3 (and inside) has been accepted for a contributed talk @Winter_QBio Hurray @EliWeinstein6 @AndreNguyen16!! Anyone headed there in person?

For the record, the other people on the @lmrl_bio organizing committee have gone above and beyond this whole year, as have those that have submitted and the dozens that helped review. But the first we heard about the 11/25 deadline was on 11/21. Help us, @sanmikoyejo @shakir_za!

Oh god. I went on maternity leave, was the main P.O.C., was 2 days late to upload our schedule (deadline was 11/25), and now @lmrl_bio has been cancelled by #NeurIPS2022 (seriously.) Please send help.🫠

The first Human Immunome AI Summit is in full swing. World leading scientists across #immunology, computational #biology, #AI are developing a strategic roadmap for how to build the first AI model of the human #immunome, capable of leading science into #digital age. #HIPAISummit

We are proud to be at today's Defense TechConnect Summit presenting all things probabilistic ML and biological sequences, including immune synapse engineering and viral forecasting: events.techconnect.org/DTCFall/ #SmallBusiness #DefenseInnovation #viralprediction #immuneescape @jura_bio

Thrilled: @lmrl_bio was accepted for @NeurIPSConf 2022. For lots of reasons, we'll be virtual -- hope that makes it easy and safe for you to attend! Pre-register for workshop updates at LMRL.org and join the Slack, follow on Twitter, etc. Thanks for sharing!

@EdwardRaffML Should Twitter do it too?

I'm not sure if everyone on my team is slowly changing their slack names/profiles to mine (funny), or if Slack is doing it as a joke (still kinda funny, but also annoying, making it hard to get work actually done...).

The preprint of my PhD work w/ Jeff Miller is now up. In it we study the problem of "data selection", finding low-dimensional statistics of high-dimensional data that can be fit by a parametric model of interest. jwmi.github.io/publications/b…

@EdwardRaffML @jsylvest Edward, can I expense some lab coats?

@jsylvest Hmmm, yes. I believe the problem is this brown spot on the thalamus gland of the thyroid.

I tried to get lab coats expensed for my old ML research group, but Uncle Booz wouldn't pony up for it. Big missed opportunity

Our work on: "Estimating the early cumulative incidence of COVID-19 in the United States" is now out at #PLOSCompBio dx.plos.org/10.1371/journa… with @fredlu_1618 @NicholasLink10 @AndreNguyen16 M Molina @jessicadavis_ @mattk7 X Xiong @alexvespi @mlipsitch

Our work exploring "the use of neural networks for influenza prediction at multiple spatial resolutions" is now out advances.sciencemag.org/content/7/25/e… Great collaboration with E Aiken, @AndreNguyen16 and C Viboud

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time. Great collaboration with an outstanding scientific team advances.sciencemag.org/content/7/10/e… Coauthors include: @nkiocgoalne @SKNKsmash P Liautaud, J Kaashoek, @NicholasLink10 ...

So big personal news, I've been working on a book w/ @ManningBooks and it's now early-access! manning.com/books/inside-d… I'm targeting what I think is an under-served area. The middle between "give me a tool" and "CS/Stats/ML PhD graduate book" that gives utility and understanding.

We're so excited to have SWA natively in PyTorch 1.6! Improved generalization, semi-supervised learning, deep RL, uncertainty, Bayesian DL, calibration, low precision training... I encourage you try it out! It's easy, and also works on pre-trained models. pytorch.org/blog/pytorch-1…

I'm attending the #NewInML workshop at #ICML2020 today, and will be on a panel with @RealAshEdwards @chelseabfinn @shakir_za @andreas_madsen & Tong Zhang . Come check it out! nehzux.github.io/NewInML2020ICM…

Can we forecast the near future of the pandemic with data we have now? That’s the goal of this work led by @MauSantillana. The idea is simple;🔼in pandemic activity will lead to changes in multiple data streams before increases in cases become apparent nytimes.com/2020/07/02/hea… 1/n

Honored to be featured in the @nytimes with @nkiocgoalne @SKNKsmash P Liautaud J Kaashoek N Link @AndreNguyen16 @fredlu_1618 P Huybers B Resch C Havas @ptetutschnig @jessicadavis_ @mattk7 @itsbacki @BillHanage @alexvespi. Thank you @bencareynyt! nytimes.com/2020/07/02/hea…