Jacqueline Valeri

Experiences

Data Scientist

Data Science and Artificial Intelligence Team

August 2023 - Present, Moderna

Working on making science faster, easier, and more rigorous for a diverse range of biological questions. The ultimate goal is to get medicines to patients faster.

PhD Student

Lab of Jim Collins

September 2018 - August 2023, MIT

Developed machine learning tools for synthetic biology components such as toehold switches. Built on this work to improve accessibility of machine learning by constructing ‘automated’ tools for synthetic and systems biologists with limited programming experience.
Used computational tools to assist the discovery and design of new antibiotics. Specifically, worked on antibiotics relevant for metabolically dormant bacteria and serious pathogens for which we urgently need new drugs.
MIT-Takeda Fellow in Artificial Intelligence and Health 2021 - 2022
Siebel Scholar, Class of 2023

PhD Student

Biological Engineering Dept.

September 2018 - August 2023, MIT

GPA 5.00/5.00

2020 - 2023 BE Data Lab Fellow
2020 - 2022 Co-President of MITxHarvard Women in Artificial Intelligence
2018 - 2023 Student Liaison for the Institute Discriminiation and Harassment Response (IDHR) Office; Previously, Chair of Messaging and Partnerships Subcommittee of IDHR-Student Advisory Committee
2020 - 2023 Representative for Committe on Sexual Misconduct Prevention and Response
Spring 2021 Teaching Assistant for Deep Learning in the Life Sciences
2018 - 2023 BE Admissions Assistance Program (BEAAP) Mentor

Bachelor's and Master's Student

Biological Engineering Dept.

September 2014 - May 2018, University of Pennysylvania

GPA 4.00/4.00 (M.S.E.) and 3.99/4.00 (B.S.E.)

Penn Band Clarinet Section Leader
Tau Beta Pi Engineering Honor Society Secretary
Co-Director of Penn Innoworks Science Camp
Award, Honorable Mention for Penn Engineering Master’s Academic Award Spring 2018
Award, Co-recipient of 2018 Wolf-Hallac Award for top female senior in Penn Engineering School
Award, Selected for Penn 10 2018, the “30 Under 30” equivalent for 10 graduating seniors

Research Assistant

Lab of Jennifer Phillips-Cremins

January 2016 - July 2018, University of Pennsylvania

Developed a tool to modulate gene expression in embryonic stem cells using blue light
Co-planned and executed a labwide “Molecular Biology Bootcamp” as a 1 week intensive course
Award, Class of 1971 Robert J. Holtz Award Summer 2017 from Center for Undergraduate Research & Fellowships.
Award, Abraham Noordegraaf Undergraduate Research Fellow Summer 2017
Award, Silver Medal for Rachleff Scholar Poster Presentation Summer 2016

Discovery of antibiotics active against stationary-phase bacteria

Cell Chemical Biology, 2023

Experimental and computational screening techniques to discover and characterize small molecules active against "metabolically dormant" bacteria.

Star

Explainable ML for antibiotic class discovery

Nature, 2023

Using explainable machine learning techniques to discover a structural class of antibiotics active against S. aureus.

Automated machine learning for biological sequences

Cell Systems, 2023

Easing barriers for biologists to use machine learning to analyze, intepret, and design nucleic acid, peptide, and glycan sequences. Star

Machine learning for toehold switches

Nature Communications, 2020

Sequence-to-function deep learning frameworks for engineered riboregulators.

Star

Android app for lateral flow assay image analysis

Nature Biomedical Engineering, 2020

A CRISPR-based assay for the detection of opportunistic infections post-transplantation and for the monitoring of transplant rejection.

Star

Blue light-induced genome folding

Nature Methods, 2019

LADL, light-activated dynamic looping for endogenous gene expression control. Highlighted in Nature’s technologies to watch in 2020.

Details

Communication interface for Deaf patients and hearing physicians

Senior Design, 2018

Created neural machine translation and video capture algorithm. Honorable mention in Engineering senior design competition.

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Outside the Lab

Hi, I'm Jackie