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Melanie Lee Email & Phone Number

Data Science & Engineering | Machine Learning | Generative AI at Pendulum Therapeutics
Location: San Francisco Bay Area, United States, United States 11 work roles 3 schools
1 work email found @pendulum.co LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

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Work email m****@pendulum.co
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Current company
Role
Data Science & Engineering | Machine Learning | Generative AI
Location
San Francisco Bay Area, United States, United States

Who is Melanie Lee? Overview

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Quick answer

Melanie Lee is listed as Data Science & Engineering | Machine Learning | Generative AI at Pendulum Therapeutics, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at pendulum.co and a matched LinkedIn profile for Melanie Lee.

Melanie Lee previously worked as Staff Data Scientist at Pendulum Therapeutics and Senior Data Scientist at Pendulum Therapeutics. Melanie Lee holds Phd, Computational Biology from Cornell University.

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Email format at Pendulum Therapeutics

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{first}.{last}@pendulum.co
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Profile bio

About Melanie Lee

Experienced Data Scientist with extensive expertise in spearheading large-scale data analytics initiatives and harnessing state-of-the-art technologies to transform complex business needs into actionable strategies that drive organizational success. Skilled in leading cross-functional teams, optimizing business processes, and delivering data-driven insights to support strategic decision-making. Proven track record of building scalable solutions that enhance operational efficiency and support compliance and regulatory goals.

Current workplace

Melanie Lee's current company

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Pendulum Therapeutics
Pendulum Therapeutics
Data Science & Engineering | Machine Learning | Generative AI
AeroLeads page
11 roles

Melanie Lee work experience

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Bioinformatics Staff Scientist

Los Angeles, California, US

  • Mined genomic databases and publicly available data, and transformed data into a uniform format useful for primer design and haplotype classification.
  • Designed PCR primers for a multiplexed primer set targeting 40 genes in the major histocompatibility complex.
  • Wrote custom pipelines and scripts for analyzing next-generation sequencing (NGS) data.
  • Created an end-to-end tool for QC-ing data, identifying off-target reads and cross-hybridizing primers.
  • Evaluated primer specificity, efficiency, and determined most informative primer sets using machine learning.
Apr 2019 - Aug 2019

Health Data Science Fellow

San Francisco, CA, US

* Consulted for a start-up company that harnesses the plant microbiome for sustainable agriculture.* Extracted microbial communities from a crowd-sourced dataset of airborne microbes using latent semantic analysis of taxon counts to understand microbial community structure.* Created geospatial visualizations in Python of microbial community dispersal.

Sep 2017 - Feb 2018

Data Science Workshop Participant

Cdips Data Science Workshop, Uc Berkeley
  • Created a content recommender web application that generates links to similar articles using topic modeling.
  • Scrapped Wikipedia articles from the web and stored and retrieved content using sqllite3.
  • Performed A/B testing to compare the effectiveness of recommendation algorithms.
  • Created an interactive front end using Flask and Javascript and deployed on Amazon Web Services.
Jul 2017 - Aug 2017

Postdoctoral Researcher

Berkeley, CA, US

  • Designed and performed 2-photon calcium imaging, electroporation, electrophysiology, and in situ hybridization experiments in developing mouse retina to understand the development of direction selectivity.
  • Assembled an integrated pipeline in Matlab and ImageJ for acquisition and analysis of simultaneous imaging and visual stimulation of populations of mouse direction-selective retinal ganglion cells.
  • Wrote custom image processing code to segment data and to time-sync cellular responses with location of visual stimulus across the visual field, increasing reliability of detecting direction-selective cells in a field.
Jan 2016 - Apr 2017

Postdoctoral Researcher

New York, NY, US

  • Developed methods for sparse labeling of calcium indicators in neurons; restriction-free PCR-based cloning for development of transgenic zebrafish sparsely expressing genetically encoded calcium indicators in neurons.
  • Wrote custom Matlab scripts to link optokinetic stimulation with real-time saccade detection to optimize acquisition of cellular responses to specific oculomotor behaviors in zebrafish.
  • Designed and implemented an analysis suite for identifying spatiotemporal footprints of subcellular compartments, detecting and classifying behavior-linked response types, and visualizing spatiotemporal patterns in.
Mar 2014 - Dec 2015

Research Intern

Rahway, New Jersey, US

  • Applied Computer Science and Mathematics Division, Merck, Inc.
  • Implemented a pipeline in Matlab for analyzing pressure pulse waveforms obtained from rat telemetry to quantify cardiovascular benefits of future hypertension drugs. Optimized computational efficiency and robustness.
Jan 2006 - May 2006

Research Intern

Ithaca, NY, US

  • Mathematical and Theoretical Biology Institute (MTBI) Summer Research Program
  • Mathematically modeled and analyzed the effects of the HIV epidemic on the South African transport industry. Developed and simulated in Matlab and Maple three deterministic, and one stochastic model, and investigated.
Jun 2002 - Jul 2002

Research Intern

Los Angeles, CA, US

  • Research in Industrial Projects for Students Summer Research Program
  • Implemented advanced image processing routines (Fourier transforms, wavelet transforms, and PDE-based image inpainting) in C++ and wrote prototype code for an existing image compositing software package.
Jul 2001 - Aug 2001
3 education records

Melanie Lee education

Phd, Computational Biology

Cornell University

Ms, Applied Math

New York University

Bs, Applied Math

Ucla
FAQ

Frequently asked questions about Melanie Lee

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

What company does Melanie Lee work for?

Melanie Lee works for Pendulum Therapeutics.

What is Melanie Lee's role at Pendulum Therapeutics?

Melanie Lee is listed as Data Science & Engineering | Machine Learning | Generative AI at Pendulum Therapeutics.

What is Melanie Lee's email address?

AeroLeads has found 1 work email signal at @pendulum.co for Melanie Lee at Pendulum Therapeutics.

Where is Melanie Lee based?

Melanie Lee is based in San Francisco Bay Area, United States, United States while working with Pendulum Therapeutics.

What companies has Melanie Lee worked for?

Melanie Lee has worked for Pendulum Therapeutics, One Lambda, Inc. | A Thermo Fisher Scientific Brand, Insight Data Science, Cdips Data Science Workshop, Uc Berkeley, and University Of California, Berkeley.

How can I contact Melanie Lee?

You can use AeroLeads to view verified contact signals for Melanie Lee at Pendulum Therapeutics, including work email, phone, and LinkedIn data when available.

What schools did Melanie Lee attend?

Melanie Lee holds Phd, Computational Biology from Cornell University.

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