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Jesse W. Collins, Ph.D. Email & Phone Number

AI Research Scientist III at 1910
Location: Greater Boston, United States 18 work roles 7 schools
1 work email found @fas.harvard.edu 1 phone found area 617 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email j****@fas.harvard.edu
Direct phone (617) ***-****
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Current company
Role
AI Research Scientist III
Location
Greater Boston, United States

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Jesse W. Collins, Ph.D. is listed as AI Research Scientist III at 1910, based in Greater Boston, United States. AeroLeads shows a work email signal at fas.harvard.edu, phone signal with area code 617, and a matched LinkedIn profile for Jesse W. Collins, Ph.D..

Jesse W. Collins, Ph.D. previously worked as AI Research Scientist III at 1910 Genetics and AI Research Scientist II at 1910 Genetics. Jesse W. Collins, Ph.D. holds Doctor Of Philosophy (Phd), Applied Physics from Harvard University.

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*@fas.harvard.edu
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Profile bio

About Jesse W. Collins, Ph.D.

At 1910, I focus on improving our CANDID™ suite of predictive ADMET AI/ML models, primarily for small molecules, and expanding to larger therapeutic modalities. CANDID™ models can expedite the hit to lead and lead to candidate stages of drug discovery. I've practiced machine learning (scikit learn, BERT/NLP, Tensorflow/object detection), data science (python, pandas, MongoDB), and software development (UI/UX, SQL, React, node, CSS), generally in the healthcare and pharmaceutical space, typically in start-ups or similar teams.In addition to my drive and professional experience in software and AI/ML, I've academic experience as a former postdoc scientist/engineer in droplet microfluidics for directed evolution, iPSC to neocortical spheroid differentiation, and MDCK cell culture. My PhD work was in protein expression/purification/thermodynamics, DNA-coated colloid physics/chemistry, fluorescence microscopy, and statistical mechanics (theoretical partition functions/entropy calculations/energy landscapes on graphs). I've mentored undergraduate and high school researchers, and served my colleagues as a lab safety officer and group meeting organizer.In my spare time I've worked on a project in drop-based microfluidics design/maker manufacturing (NSF SBIR project pitch ok'd) and software projects including an Electron prototype exploring the use of writing to recall memories, and one for which a patent was granted. I’ve also enjoyed formulating strawberry flavored alginate and co-leading my son’s former daycare class in making it into drops and gels.

Listed skills include Physics, Research, Nanotechnology, Fluorescence Microscopy, and 19 others.

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1910
1910
AI Research Scientist III
Boston, MA, US
AeroLeads page
18 roles · 22 years

Jesse W. Collins, Ph.D. work experience

A career timeline built from the work history available for this profile.

Ai Research Scientist Iii

Boston, Ma, Us

Ai Research Scientist Iii

Current

Boston, Ma, Us

Developing our CANDID™ suite of AI/ML models for ADMET property prediction

Dec 2024 - Present

Ai Research Scientist Ii

Boston, Ma, Us

Jul 2023 - Dec 2024

Ai Research Scientist I

Boston, Ma, Us

Jun 2022 - Jul 2023

Ai Research Fellow

Boston, Ma, Us

Oct 2021 - May 2022

Application Developer I

Cai

Indianapolis, Indiana, Us

React and React Native

Sep 2020 - Feb 2021

Software Developer

Biophilia, Llc

ReactJS and nodejs software development for Coactive/CAI.During this time I also completed online coursework in SQL and node-SQL.

May 2020 - Sep 2020

Software Development And Microfluidics

Biophilia, Llc

- Resumed work on a writing therapy nodejs app prototype- Submitted an 'ok'd' project pitch for NSF SBIR/STTR funding in "maker manufacturing"

Apr 2020 - May 2020

Translational Scientist

Cambridge, Massachusetts, Us

- trained and tested a binary classifier and BERT-based AI model to infer gene-gene interactions from literature; tools included scikit learn and spacy (NLP)- made a webapp to analyze open source cell line CRISPR dependency map data from the Broad Institute Achilles project; tools included React/Python/MongoDB/Pandas/scipy and nference knowledge graph APIs, statistical measures used the hypergeometric distribution- calculated using HPC methods cosine similarities of cell types and tissue types based on RNA expression vectors across 18,000 genes, similarly cell line CRISPR dependency similarities- client interfacing work included projects with Janssen (J&J) and Syngenta, calculated PCA (Principle Component Analysis) plots for the latter NLP project

Feb 2019 - Apr 2020

Postdoc

Weitz Lab, Harvard Seas/Physics

I make microfluidic junctions in a clear rubber (PDMS), and use them to make collagen drops containing neocortical progenitor stem cell spheroids (human iPSC-derived). The collagen gels around the cells to cue their differentiation to neurons. The resulting brain organoids could be used for studying basic (ie, "where are memories located?") and applied (ie, screening drugs against alzheimer's phenotypes) questions in neuroscience. With our dropmaking devices, we make hundreds of collagen drops per minute, about 100 times faster than when the gels are made by hand pipettor.

Aug 2016 - Aug 2018

Postdoc

Tyo Lab At Northwestern And Weitz Lab At Harvard

High throughput assay development for directed evolution of polymerases in microfluidic drops for neuroscience applications.- via a dilution series, proved we could detect drops containing a single molecule of polymerase DNA- worked with in vitro transcription and translation reagents, and a GFP reporter assay- screened drops at .2 khz rates

Aug 2015 - Aug 2016

Scientific Writing; Software Planning, Development, And Distribution

Starlink, Llc

During this time I worked on converting 2 chapters from my thesis into journal articles, on software projects with friends/family and colleagues (see projects), and on looking for jobs in industry and science.

Jun 2014 - Jul 2015

Phd, Harvard School Of Engineering And Applied Sciences

Cambridge, Massachusetts, Us

What if, after gently shaking a box of jigsaw puzzle pieces, you found the puzzle had completed itself? I studied analogous systems: proteins and DNA-coated microspheres. The point was to understand the physics of biological molecules. How do proteins fold and organize? How does life as we know it emerge from the seemingly random motion of petite, perhaps purposeful parcels of matter?After first studying a protein, Dscam, we turned to DNA-coated microspheres, an experimental system that circumvented a few problems with studying proteins directly. Individual proteins are too small and fast to see well, but microspheres are large and slow enough to watch with an optical microscope. Proteins are also very complex, consisting of a large number of different amino acids, whose interactions are not fully understood nor controllable. We studied small numbers of microspheres, so we could make sense of all the different clusters they could possibly form. We controlled the interactions between microspheres by controlling the DNA sequences on them. Although proteins and DNA-coated microspheres are thus very different, we believe that proteins and microspheres are obey similar physics. Statistical mechanics can be applied to both systems.In these thesis experiments, we found that with careful control of the interactions between the building blocks, uncommonly symmetric structures self-assemble. Link to my thesis: https://dash.harvard.edu/handle/1/12274201

Sep 2006 - May 2014

Teaching Fellow, Ps2 - Physics For Life Sciences

Cambridge, Massachusetts, Us

Co-developed lesson plans, graded quizzes and homeworkLead section for 20 studentsCo-administered homework help session for up to about 50 students at a timeCoursework including the following subjects: kinematics, acceleration, friction, force balances, torque, energy conservation

Sep 2008 - Dec 2008

Undergraduate Researcher (Urop) - Pat Doyle Group

Doyle Lab Mit

Formulated a UV curable ferrofluid, optimized continuous droplet polymerization flow rates, made PDMS microfluidic devices, demonstrated “janus” microparticle polymerization via laminar coflowPerformed microscopy of microparticles and collaborated on a journal article (see publications)

2005 - 2006 ~1 yr

Undergraduate Researcher (Urop) - Marc Kastner Group

Cambridge, Ma, Us

Made SQUID (super-conducting quantum interference device) and ESR (electron spin resonance)measurements of colloidal CdSe quantum dots down to 4K, found an ESR peak at 39K.

Jun 2004 - Sep 2004

Summer Intern

Tested local water samples for presence of microorganisms, mixed media, cleaned and sterilized glassware.

Jun 2003 - Sep 2003
7 education records

Jesse W. Collins, Ph.D. education

Doctor Of Philosophy (Phd), Applied Physics

Harvard University

Ms, Applied Physics

Harvard University

Bachelor Of Science (Bs), Physics

Massachusetts Institute Of Technology

Bachelor Of Science (Bs), Literature

Massachusetts Institute Of Technology

Education record

Sparta High School

Education record

Massachusetts Institute Of Technology

Education record

Massachusetts Institute Of Technology
FAQ

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What company does Jesse W. Collins, Ph.D. work for?

Jesse W. Collins, Ph.D. works for 1910.

What is Jesse W. Collins, Ph.D.'s role at 1910?

Jesse W. Collins, Ph.D. is listed as AI Research Scientist III at 1910.

What is Jesse W. Collins, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @fas.harvard.edu for Jesse W. Collins, Ph.D. at 1910.

What is Jesse W. Collins, Ph.D.'s phone number?

AeroLeads has found 1 phone signal(s) with area code 617 for Jesse W. Collins, Ph.D. at 1910.

Where is Jesse W. Collins, Ph.D. based?

Jesse W. Collins, Ph.D. is based in Greater Boston, United States while working with 1910.

What companies has Jesse W. Collins, Ph.D. worked for?

Jesse W. Collins, Ph.D. has worked for 1910, 1910 Genetics, Cai, Biophilia, Llc, and Nference.

How can I contact Jesse W. Collins, Ph.D.?

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What schools did Jesse W. Collins, Ph.D. attend?

Jesse W. Collins, Ph.D. holds Doctor Of Philosophy (Phd), Applied Physics from Harvard University.

What skills is Jesse W. Collins, Ph.D. known for?

Jesse W. Collins, Ph.D. is listed with skills including Physics, Research, Nanotechnology, Fluorescence Microscopy, Science, Data Analysis, Microscopy, and Experimentation.

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