Meghan Thommes Email & Phone Number
@foxvalley.net
1 phone found area 630
LinkedIn matched
Who is Meghan Thommes? Overview
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Meghan Thommes is listed as Scientific Data Engineer III at TetraScience, a company with 149 employees, based in Greater Boston, United States, United States. AeroLeads shows a work email signal at foxvalley.net, phone signal with area code 630, and a matched LinkedIn profile for Meghan Thommes.
Meghan Thommes previously worked as Lead Analyst, Data Platform at Tessera Therapeutics and Scientist I, Computational Biologist at Dyno Therapeutics. Meghan Thommes holds Ms, Ph.D., Biomedical Engineering, 3.86/4.00 from Boston University.
Email format at TetraScience
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AeroLeads found 1 current-domain work email signal for Meghan Thommes. Compare company email patterns before reaching out.
About Meghan Thommes
Data scientist skilled in data management, quality control, curation, and integration. Experienced in working on cross-functional teams to develop tools that support data analysis, predictive modeling, and data-driven decision making. Eager to apply expertise to augment the data experience for scientists, engineers, and decision-makers.
Listed skills include Matlab, Biomedical Engineering, Research, Statistics, and 24 others.
Meghan Thommes's current company
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Meghan Thommes work experience
A career timeline built from the work history available for this profile.
Lead Analyst, Data Platform
Current
Scientist I, Computational Biologist
- Standardized routine data analysis by designing and implementing Figure and Analysis classes, reducing turnaround time by 50%, ensuring reproducibility, and enabling testing of analytical methods.
- Collaborated closely with software engineers to develop and enhance tools to standardize data access and workflows, resulting in high-quality datasets and reducing data sourcing and accessing time by 90%.
- Distilled complex, large-scale NGS datasets into clear, actionable visual representations and reports that advanced the goal of establishing a high-throughput manufacturing platform for generating high-quality viral.
- Designed experiments, developed new data generation methods, and produced reports that improved manufacturing techniques by 25%.
Data Scientist
- Created data models to inform predictive modeling efforts, create data templates, and centralize data storage so they can easily be queried and imported into PostgreSQL databases.
- Implemented Benchling and LIMS schemas and methods for data extraction to enable data visualization dashboards and to enhance analytical workflows.
- Built data integration packages to clean, standardize, and consolidate biological performance data of engineered microbes from in vitro and in planta studies, producing high-quality datasets and advancing the goal of.
Graduate Research Assistant
- Supervised a 3-person team of bioinformatics graduate students to analyze ~538M next-generation DNA sequencing reads from 13 soil microbial community replicates grown on 2 carbon sources (18 total runs) using Python
- Created core metabolic models of 5 bacterial strains in MATLAB; used these metabolic models to predict nutrients exchanged between the bacterial strains in the soil microbial community replicates
- Developed a mixed integer linear program in MATLAB to predict division of labor strategies in microbial communities under 100+ simulated conditions; publication resulted in an increased understanding in how to engineer.
- Performed linear regression and feature selection in MATLAB to classify ~600 yeast strains based on growth in ~70 different environments; this mixed integer linear program enables biologists to perform less phenotype.
Resident Assistant
Graduate Teaching Assistant
- Wrote and tested 5 laboratory manuals and grading rubrics to redesign junior-level course teaching the fundamentals of biomedical measurements
- Won recognition as the best TA out of ~100 in the biomedical engineering department in 2015
Fellow
- Created “NoveList”, a web app that predicts a Goodreads user’s want-to-read book ratings, enabling them to prioritize what to read next
- Built, trained, and evaluated a collaborative filtering recommender system in Jupyter Notebooks with scikit-surprise, pandas, numpy, and seaborn
- Deployed “NoveList” using streamlit and Heroku
President
- Headed and trained teams of 15-20 multidisciplinary graduate engineers to organize 1-2 events each month, increasing the number of events held each year by 50%
- Created workflows in Trello, an agile development platform, for each event; each workflow created historical data of the event and enabled detailed oversight by the executive board
Recitation Instructor For Engr145: Chemistry Of Materials
- Prepared recitation lecture material and quizzes for classes of 30 undergraduates
Research Assistant
- Submitted a research proposal and received an undergraduate research grant
- Built and applied spatial (CAR, Laplacian) and frequency (EEG Rhythm) filters to 32-electrode EEG in MATLAB
- Analyzed frequency plots (short-time Fourier transforms)
- Developed latent Dirichlet allocation and regression models to determine if statistical differences exist between four hand grasp force levels
Colleagues at TetraScience
Other employees you can reach at tetrascience.com. View company contacts for 149 employees →
George Van Den Driessche
Colleague at TetrascienceRaleigh, North Carolina, United States, United States
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JJ
John Jainschigg
Colleague at TetrascienceNew York, New York, United States, United States
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CL
Cary Li
Colleague at TetrascienceToronto, Ontario, Canada, Canada
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MM
Michael Mayers
Colleague at TetrascienceSan Diego County, California, United States, United States
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YG
Yutao Gui
Colleague at TetrascienceNetherlands, Netherlands
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VB
Vikas Bhardwaj
Colleague at TetrascienceSan Francisco, California, United States, United States
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AM
Arkadii Mirzabekian
Colleague at TetrascienceBochum, North Rhine-Westphalia, Germany, Germany
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JW
Jan Winkelmann
Colleague at TetrascienceAachen, North Rhine-Westphalia, Germany, Germany
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GR
Gareth Roberts
Colleague at TetrascienceGreater Guildford Area, United Kingdom, United Kingdom
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JH
Joel Howard
Colleague at TetrascienceRoanoke, Virginia, United States, United States
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Meghan Thommes education
Ms, Ph.D., Biomedical Engineering, 3.86/4.00
B.S., Biomedical Engineering, 3.88/4.00
Education record
Frequently asked questions about Meghan Thommes
Quick answers generated from the profile data available on this page.
What company does Meghan Thommes work for?
Meghan Thommes works for TetraScience.
What is Meghan Thommes's role at TetraScience?
Meghan Thommes is listed as Scientific Data Engineer III at TetraScience.
What is Meghan Thommes's email address?
AeroLeads has found 1 work email signal at @foxvalley.net for Meghan Thommes at TetraScience.
What is Meghan Thommes's phone number?
AeroLeads has found 1 phone signal(s) with area code 630 for Meghan Thommes at TetraScience.
Where is Meghan Thommes based?
Meghan Thommes is based in Greater Boston, United States, United States while working with TetraScience.
What companies has Meghan Thommes worked for?
Meghan Thommes has worked for Tetrascience, Tessera Therapeutics, Dyno Therapeutics, Joyn Bio, and Boston University Biomedical Engineering Department.
Who are Meghan Thommes's colleagues at TetraScience?
Meghan Thommes's colleagues at TetraScience include George Van Den Driessche, John Jainschigg, Cary Li, Michael Mayers, and Yutao Gui.
How can I contact Meghan Thommes?
You can use AeroLeads to view verified contact signals for Meghan Thommes at TetraScience, including work email, phone, and LinkedIn data when available.
What schools did Meghan Thommes attend?
Meghan Thommes holds Ms, Ph.D., Biomedical Engineering, 3.86/4.00 from Boston University.
What skills is Meghan Thommes known for?
Meghan Thommes is listed with skills including Matlab, Biomedical Engineering, Research, Statistics, Engineering, Data Analysis, Microsoft Office, and Chemistry.
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