André Nguyen (@AndreNguyen16) header
André Nguyen (@AndreNguyen16) profile picture

André Nguyen

@AndreNguyen16

Machine Learning @BoozAllen | Previously @jura_bio and @MauSantillana Lab | Alum @Harvard @UMBC

Joined June 2014
  • Tweets41
  • Following634
  • Followers140
1Media
Photo by André Nguyen (@AndreNguyen16)
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
1
2
2
10
2,679
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
2
1
726
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
4
1
7
1,405
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?
2
1
10
954
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!
Elizabeth Wood 🧬🖥️🥼 (@lizbwood) profile pictureElizabeth Wood 🧬🖥️🥼
@lizbwood27 Nov 2022
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.🫠
2
2
14
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.🫠
2
8
3
26
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
2
5
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/DTCFa… #SmallBusiness #DefenseInnovation #viralprediction #immuneescape @jura_bio
Image from Elizabeth Wood 🧬🖥️🥼 (@lizbwood)
4
1
9
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!
16
3
62
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/…
1
5
2
19
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/journal.… with @fredlu_1618 @NicholasLink10 @AndreNguyen16 M Molina @jessicadavis_ @mattk7 X Xiong @alexvespi @mlipsitch
Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance,...

Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance,...

Author summary Accurate estimates of the weekly incidence of COVID-19 in the United States is essential for planning and researching effective public health responses. Because of systematic testing...

journals.plos.org
12
1
14
Our work exploring "the use of neural networks for influenza prediction at multiple spatial resolutions" is now out advances.sciencemag.org/cont… Great collaboration with E Aiken, @AndreNguyen16 and C Viboud
8
22
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/cont… Coauthors include: @nkiocgoalne @SKNKsmash P Liautaud, J Kaashoek, @NicholasLink10 ...
1
4
10
André Nguyen retweeted
Edward Raff (@EdwardRaffML) profile picture
Edward Raff
@EdwardRaffML24 Dec 2020
So big personal news, I've been working on a book w/ @ManningBooks and it's now early-access! manning.com/books/inside-dee… 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.
Image from Edward Raff (@EdwardRaffML)
8
28
6
150
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-1.6…
Image from Andrew Gordon Wilson (@andrewgwils)
PyTorch (@PyTorch) profile picturePyTorch
@PyTorch18 Aug 2020
Stochastic Weight Averaging (SWA) is a simple procedure that improves generalization in deep learning over Stochastic Gradient Descent (SGD). PyTorch 1.6 now includes SWA natively. Learn more from @Pavel_Izmailov, @andrewgwils and Vincent: pytorch.org/blog/pytorch-1.6…
PyTorch 1.6 now includes Stochastic Weight Averaging - PyTorch

PyTorch 1.6 now includes Stochastic Weight Averaging - PyTorch

Do you use stochastic gradient descent (SGD) or Adam? Regardless of the procedure you use to train your neural network, you can likely achieve significantly better generalization at virtually no...

pytorch.org
1
77
2
302
André Nguyen retweeted
Edward Raff (@EdwardRaffML) profile picture
Edward Raff
@EdwardRaffML13 Jul 2020
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/NewInML2020…
1
3
13
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/healt… 1/n
Can an Algorithm Predict the Pandemic’s Next Moves? (Published 2020)

Can an Algorithm Predict the Pandemic’s Next Moves? (Published 2020)

Researchers have developed a model that uses social-media and search data to forecast outbreaks of Covid-19 well before they occur.

nytimes.com
3
14
4
40
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/healt…
Can an Algorithm Predict the Pandemic’s Next Moves? (Published 2020)

Can an Algorithm Predict the Pandemic’s Next Moves? (Published 2020)

Researchers have developed a model that uses social-media and search data to forecast outbreaks of Covid-19 well before they occur.

nytimes.com
2
20
6
67
Our pre-print is now available in medRxiv: medrxiv.org/content/10.1101/… Beside highly needed serological testing, our approaches show that existing #CDC Influenza like illnesses surveillance tools can be leveraged to quantify the state-level prevalence of #COVID19 in the US
Estimating the Prevalence of COVID-19 in the United States: Three Complementary Approaches

Estimating the Prevalence of COVID-19 in the United States: Three Complementary Approaches

Effectively designing and evaluating public health responses to the ongoing COVID-19 pandemic requires accurate estimation of the week to week burden of COVID-19. Unfortunately, a lack of systematic...

medrxiv.org
2
5
Estimating the Prevalence of COVID-19 in the United States: Three Complementary Approaches. From the brilliant @MauSantillana of @Bos_CHIP and @harvardmed: Full paper: scholar.harvard.edu/files/ms…
Image from Arjun (Raj) Manrai (@arjunmanrai)
Image from Arjun (Raj) Manrai (@arjunmanrai)
1
9
2
24
Load more