Peter Koo
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Peter Koo Email & Phone Number

Associate Professor at Cold Spring Harbor Laboratory
Location: New York City Metropolitan Area, United States, United States 9 work roles 5 schools
2 work emails found @cshl.edu 1 phone found area 203 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 1 phone

Work email k****@cshl.edu
Direct phone (203) ***-****
LinkedIn Profile matched
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Role
Associate Professor
Location
New York City Metropolitan Area, United States, United States

Who is Peter Koo? Overview

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Quick answer

Peter Koo is listed as Associate Professor at Cold Spring Harbor Laboratory, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at cshl.edu, phone signal with area code 203, and a matched LinkedIn profile for Peter Koo.

Peter Koo previously worked as Assistant Professor at Cold Spring Harbor Laboratory and Postdoctoral Research Associate at Harvard University. Peter Koo holds Doctor Of Philosophy (Ph.D.), Physics from Yale University.

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Email format at Cold Spring Harbor Laboratory

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{last}{first_initial}@cshl.edu
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Profile bio

About Peter Koo

My lab’s research lies at the intersection of artificial intelligence and genomics. I am interested in exploring how representations of biological sequences learned by deep neural networks can provide novel insights into biological processes.

Listed skills include Machine Learning, Deep Learning, Artificial Neural Networks, Bioinformatics, and 14 others.

Current workplace

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Cold Spring Harbor Laboratory
Cold Spring Harbor Laboratory
Associate Professor
New York, NY, US
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9 roles · 27 years

Peter Koo work experience

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

Postdoctoral Research Associate

Cambridge, MA

  • Developed a state-of-the-art deep convolutional network to predict binding affinities of RNA-binding proteins toward RNA sequences.
  • Deciphered how convolutional networks learn representations of regulatory genomic sequences.
  • Explored deep generative models for protein and RNA structure prediction.
  • Investigated techniques to reliably uncover features learned by deep learning models.
2015 - 2019 ~4 yrs

Graduate Research Fellow

  • Developed advanced machine learning models to characterize the diffusion of proteins in living cells.
  • Quantitatively measured the role of chromatin on nuclear mechanics in vitro with optical tweezers and in vivo via image analysis.
  • Designed, constructed, calibrated, and digitally automated custom-made experimental apparatuses for optical tweezers with fluorescence capabilities.
2010 - 2015 ~5 yrs

Graduate Research Fellow

  • Developed tethered phospholipid nanodiscs embedded with cytochrome P450 to study single molecule kinetics.
  • Implemented image analysis and time series analysis to characterize single molecule binding events from image sequences.
  • Designed, constructed, and digitally automated experimental apparatuses for total internal reflection fluorescence microscopy, fluorescence correlation spectroscopy, and confocal laser scanning microscopy.
2007 - 2008 ~1 yr

Teaching Fellow

Fall 2011 - University Physics for the Life Sciences (Head Teaching Fellow)Spring 2011 - Physics and Engineering Integrated WorkshopFall 2010 - University Physics for the Life SciencesSpring 2008 - Fundamentals of PhysicsFall 2007 - Modern Physical MeasurementsSpring 2007 - General Physics LaboratoryFall 2006 - General Physics Laboratory

2006 - 2008 ~2 yrs

Summer Research Fellow

  • Optimized a high-resolution thermometer for ~0.7 K temperatures.
  • Programmed in LabVIEW to control instruments and automate data acquisition.
2005 - 2006 ~1 yr

Undergraduate Research Scholar

  • Constructed and tested a second-generation superconducting quantum interference device-based magnetic resonance imaging system with a team of researchers.
2005 - 2006 ~1 yr

Communications Specialist

  • Responsible for the maintenance and employment of all field communications for a battalion.
1999 - 2004 ~5 yrs
5 education records

Peter Koo education

FAQ

Frequently asked questions about Peter Koo

Quick answers generated from the profile data available on this page.

What company does Peter Koo work for?

Peter Koo works for Cold Spring Harbor Laboratory.

What is Peter Koo's role at Cold Spring Harbor Laboratory?

Peter Koo is listed as Associate Professor at Cold Spring Harbor Laboratory.

What is Peter Koo's email address?

AeroLeads has found 2 work email signals at @cshl.edu for Peter Koo at Cold Spring Harbor Laboratory.

What is Peter Koo's phone number?

AeroLeads has found 1 phone signal(s) with area code 203 for Peter Koo at Cold Spring Harbor Laboratory.

Where is Peter Koo based?

Peter Koo is based in New York City Metropolitan Area, United States, United States while working with Cold Spring Harbor Laboratory.

What companies has Peter Koo worked for?

Peter Koo has worked for Cold Spring Harbor Laboratory, Harvard University, Yale University, Yale University, Department Of Physics, and Nasa Jet Propulsion Laboratory.

How can I contact Peter Koo?

You can use AeroLeads to view verified contact signals for Peter Koo at Cold Spring Harbor Laboratory, including work email, phone, and LinkedIn data when available.

What schools did Peter Koo attend?

Peter Koo holds Doctor Of Philosophy (Ph.D.), Physics from Yale University.

What skills is Peter Koo known for?

Peter Koo is listed with skills including Machine Learning, Deep Learning, Artificial Neural Networks, Bioinformatics, Computational Genomics, Data Analysis, Image Analysis, and Bayesian Methods.

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