Ava Amini
@avapamini
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senior researcher @MSFTResearch | AI for biomedicine instructor @MITDeepLearning | biophysics @Harvard | alumna @MIT
Joined September 2014
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presenting EvoDiff: new generative models for controllable protein design from sequence data alone!
✅generate high-quality proteins
✅scaffold functional motifs
🤩apply to therapeutic design + more!
👉
💻
🎙️
EvoDiff combines evolutionary-scale data with diffusion models for controllable protein sequence generation.
In addition to generating plausible proteins, we can scaffold structural motifs in sequence space!
Preprint:
Code:
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Our work on developing responsive nanoparticles that detect
#LungCancer
as a urinary readout is now published in
@ScienceTM
! We use
#MachineLearning
for accurate classification of lung cancer in mice.
Paper 👉
MIT News 👉
4
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Our work on developing a simple color-change urine test for detection of
#cancer
is now published in
@NatureNano
! A fantastic joint effort b/w
@MIT
and
@imperialcollege
with
@cnloynachan
!
Paper 👉
@snbhatia
@JaideepDudani
@kochinstitute
@KI_Nanomedicine
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Excited to present our work on guided drug discovery and prediction using evidential uncertainty!
@NeurIPS2020
#ML4Molecules
Spotlight talk 👉
Poster 31 @ 4pm EST today 👉
Drop by with questions or to discuss!
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⭐️ our latest work in
@ScienceMagazine
🩸 early
#CancerDetection
from only a blood draw by combining liquid biopsy + molecular eng
🧬 we engineer nanoparticles and antibody priming agents to boost cfDNA for improved diagnostics
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We engineer peptides to sense targeted enzyme activity in cancer tissue! Published in
@NatureComms
:
✅ nanoscale + noninvasive
✅ high-fidelity cancer monitoring
✅ multi-scale resolution sensing
from single cell 🦠 - to tissue 🫁 - to whole organism🧍
👉
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Grateful to have an amazing
@MIT
news feature on our Intro to Deep Learning course!
We cover emerging topics in
#DeepLearning
including bio/med applications (this year, some of my recent work with
@snbhatia
!). Co-taught and organized with
@xanamini
.
🌟🌟
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🤩 Thank you
@MIT
and
@kochinstitute
for the highlight on our latest work on engineering peptides to sense enzyme activity in cancer tissue!
@jessekirk15
@snbhatia
KI researchers developed enzyme-targeting nanoprobes that could prove useful in both the clinic and the lab.
The nanosensors track tumor progression and treatment response in real time, and map enzyme activity to precise locations within cancer tissue.
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submit ‼️
#NeurIPS2023
workshop on Adaptive Experimental Design & Active Learning in the Real World🔬
🗓️Oct 4 2023 11:59PM AoE
👥w/ the amazing
@MihaelaVDS
@annadgoldie
@nathankallus
@eytan
@EmmaBrunskill
@erika_alden_d
🪙$1000 to best student paper
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📢 Uncertainty estimation using evidential deep learning improves molecular property optimization and virtual screening
Our new paper is now published
@ACSCentSci
!
👉
🧵thread below!
w/
@xanamini
@samgoldman19
Daniela Rus (
@MIT_CSAIL
)
@snbhatia
@cwcoley
(1/7) In the first of two articles online with week,
@apsoleimany
@xanamini
and
@samgoldman19
illustrate the application of a recent approach to uncertainty quantification, "evidential uncertainty", to chemical tasks in
@ACSCentSci
|
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Thank you
@Microsoft
and
@MSFTResearch
for the feature and opportunity to share our work in
#AI
and
#Biology
!
AI, the defining technology of our time, is uniquely positioned to help people solve some of the world’s most challenging issues. Here’s how some of our researchers are using it to help power their work.
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Our new work developing nanosensors to diagnose
#pneumonia
is now out in
@PNASNews
! We use machine learning to classify directly from molecular barcodes.
📄 Paper:
🤩 Press:
🖥️ Code:
Led by
@_melodi_a_
!
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applications for internships with our BioML group at
@MSFTResearch
are due by 11:59pm PT today December 1!!
please apply with a research statement so we can read your ideas!
work w/ me,
@KevinKaichuang
@alexijielu
@lorin_crawford
and Kristen Severson
Apply for a PhD research internship with the bioml group
@MSRNE
!
- work with me,
@alexijielu
@avapamini
@lorin_crawford
and/or Kristen Severson!
- Enjoy this view
- Sometimes I bring treats
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Curious about next-generation diagnostics for cancer and infectious disease? Check out our new review in
@TrendsMolecMed
on engineering activity-based diagnostics as tools for precision medicine, using proteases,
#CRISPR
,
#synbio
,
#ML
, & more! 🧬
Paper 👉
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I wholeheartedly pledge to oppose racism and hate through active allyship, continuous unlearning, learning, and listening. We must work together to achieve inclusion & equity in academia and beyond. Passing to
@snbhatia
@DrTarekFadel
@jessekirk15
@cnloynachan
@BiancaLepe
I wholeheartedly pledge to oppose racism and hate through active allyship, continuous unlearning, learning, and listening. We must work together to achieve inclusion & equity in academia and beyond. Passing to
@optiML
@animesh_garg
@apsoleimany
@duckietown_coo
@ramin_m_h
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We developed a fast, calibrated method for estimating the uncertainty of neural networks in key regression learning problems.
Check out the paper link or thread below for more details!
Our preprint "Deep Evidential Regression" is online!
We present a fast method for learning uncertainty of neural networks without sampling, by placing evidential priors over the likelihood and training the NN to infer hyperparameters of the prior. 1/
👉👉
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Great collaborative effort joint with
@xanamini
,
@samgoldman19
, Daniela Rus (
@MIT_CSAIL
),
@snbhatia
, and
@cwcoley
!
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Fantastic joint work together with
@snbhatia
,
@jessekirk15
, C. Wang,
@ajaeger40
, S. Su,
@santinoids
, Q. Zhong,
@Xtina_Cabana
,
@LabJacks
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an amazing team effort with
@SarahAlamdari
@nityabt
@vdbergrianne
@alexijielu
@nfusi
@KevinKaichuang
from our team at
@MSFTResearch
!
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this work is the result of an amazing, collaborative research team across
@MIT
@broadinstitute
@kochinstitute
@MSFTResearch
-- led by Carmen Martin-Alonso,
@ShervinTabrizi
, and Kan Xiong across the
@snbhatia
, Love, and Adalsteinsson labs
now published in
@ScienceMagazine
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thanks to our organizing team:
@mutny_ml
@arkrause
@willieneis
@stochasticlalit
@ilijabogunovic
@ziwphd
@StefanoErmon
!
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