Melanie Lee Email & Phone Number
@pendulum.co
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Who is Melanie Lee? Overview
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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.
Email format at Pendulum Therapeutics
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AeroLeads found 1 current-domain work email signal for Melanie Lee. Compare company email patterns before reaching out.
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.
Melanie Lee's current company
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Melanie Lee work experience
A career timeline built from the work history available for this profile.
Senior Data Scientist
Bioinformatics Staff Scientist
- 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.
Bioinformatics Scientist Iii
Health Data Science Fellow
* 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.
Data Science Workshop Participant
- 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.
Postdoctoral Researcher
- 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.
Postdoctoral Researcher
- 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.
Research Intern
- 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.
Research Intern
- 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.
Research Intern
- 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.
Melanie Lee education
Phd, Computational Biology
Ms, Applied Math
Bs, Applied Math
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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