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Jonah Eaton

Jonah Eaton

Data Scientist

ReviveMed

Technologies

My Portfolio Highlights

My New Project

Predictive Modeling for Agriculture

My New Track

Deep Learning

My New Project

Predictive Modeling for Agriculture

Insights sculptor, shaping raw information into actionable intelligence.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Supervised Learning with scikit-learn

course

Data Manipulation with pandas

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Data Manipulation with pandas
Supervised Learning with scikit-learn
Introduction to Deep Learning with PyTorch
Introduction to Functions in Python

My Work Experience

Where I've interned and worked during my career.

ReviveMed | Oct 2021 - Present

Biological Data Scientist

N/A

New York University | Jan 2015 - Sep 2021

Graduate Research Assistant

Zidovska Lab • Lead technology on all the lab’s custom image processing, data analysis and SLURM-based cloud computing cluster software (maintain 20k+ line codebase in MATLAB) • Collaborated with a cross-disciplinary team of 10+ to plan/troubleshoot wet- lab and dry-lab experiments • Deeply involved in starting up of the lab (2nd student to join lab), developing new processes and protocols, building custom parts and working with suppliers • Utilized fluorescence spinning disk-confocal microscopy in a BSL2 environment to acquire multi-wavelength time-lapses and movies of human cell nuclei (>1 TB of image data collected) • Programmed data workflow to automate the selection, image processing and analysis of terabytes of cancer imaging data, used by everyone in the lab to analyze >15,000 cells in the last 6 years • Designed a machine learning algorithm that identifies and tracks >50,000 repair focus features in noisy images. Improved precision by 4x vs conventional methods and publishing the field’s largest study. • Invented several new analytical techniques to characterize dynamics and physics of damaged chromatin • Presented research at 10 international conferences, published two papers in high impact scientific journals. Currently finishing up two more papers.
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The University of Chicago | Sep 2013 - Jul 2014

Undergraduate Research Assistant

Witten Group • I analyzed colloidal particle alignment with numerical simulations (Mathematica) to explore what class of object shape can be reliably synchronized from a chaotic initial state using a random external force • I formulated a mathematical proof of the conditions needed for noise-induced synchronization of colloids • I communicated research results with published paper, presented at an international physics conference

IBM Almaden | Jun 2013 - Sep 2013

Summer Research Intern

I developed an analytical model (Python) that approximates recording process on magnetic tape and programmed micromagnetic simulations to improve magnetic tape writer designs. I found a candidate writer design that achieved 50% improvement from conventional writer

The University of Chicago | Oct 2011 - Mar 2013

Undergraduate Research Assistant

Schuster Lab • Researched literature on superconducting films to explore the recipe parameter space fabricated 28 variations of Niobium-based superconducting thin films, wrote scripts (Python) analyzing results • Designed and machined a cryostat-probe to measure components for quantum circuits at temperatures 3 degrees above absolute zero

NASA Goddard Space Flight Center | Jun 2011 - Sep 2011

Summer Research Intern

N/A

NASA Goddard Space Flight Center | Jun 2009 - Aug 2010

High School Academic Intern

I performed Monte-Carlo simulations (C++) to improve performance of cosmic ray detectors.

NASA Goddard Space Flight Center | Jun 2008 - Aug 2008

Summer Research Intern

N/A

My Education

Take a look at my formal education

Doctor of Philosophy (Ph.D.), Physics in PhysicsNew York University | 2021
Bachelor of Arts (B.A.) with General Honors, Physics with Honors, Applied MathUniversity of Chicago | 2014
High School Diploma Reservoir High School | 2010

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