Maureen Petterson Email & Phone Number
@iontra.com
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Who is Maureen Petterson? Overview
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Maureen Petterson is listed as Principal Robotics Engineer at Chord Robotics, based in Denver, Colorado, United States. AeroLeads shows a work email signal at iontra.com and a matched LinkedIn profile for Maureen Petterson.
Maureen Petterson previously worked as Lead Data Scientist at Iontra Inc and Senior Data Scientist at Iontra Inc. Maureen Petterson holds Doctor Of Philosophy (Phd), Physics from University Of Florida.
Email format at Chord Robotics
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AeroLeads found 1 current-domain work email signal for Maureen Petterson. Compare company email patterns before reaching out.
About Maureen Petterson
Interdisciplinary scientist who has worked on a variety of projects ranging from running statistical analysis on Monte Carlo simulations for cancer treatment to using physics informed neural networks to predict failure in lithium ion batteries. I have experience building end-to-end data science solutions and using machine learning to solve challenging problems in STEM. Most of my free time is spent in various outdoor activities (rock climbing, mountain biking, skiing, hiking), fostering animals for Foothills Animal Shelter, and tending to a garden that produces, on average, four cherry tomatoes each year.
Listed skills include Device Characterization, Physics, Sensors, Afm, and 19 others.
Maureen Petterson's current company
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Maureen Petterson work experience
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Role listed
Lead Data Scientist
Led 3 person team in building and monitoring automated data pipelines, developing model prototypes, and deploying ML pipelines to support development and productionalization of battery charging technology. This role also includes substantial project management, team and tool development (eg, cloud infra/version control/dependency management), and collaboration with upper management on yearly strategic planning.
Senior Data Scientist
Built and maintained automated and containerized data pipelines for pulling, cleaning, processing, and monitoring of timeseries and non-timeseries data related to lithium ion batteries.
Senior Data Scientist
Developed, monitored, and productionalized end-to-end ETL and ML pipelines for enterprise clients in the manufacturing, pharmaceutical, and technology space.- Developed and migrated ML worklows to the Dataiku DSS platform, including building connectors to various data sources (object storage, RDBMS, SFTP), optimizing computation engines ( Spark, EKS, in-database), and monitoring data quality and model drit.- Established strategy for adoption of new ML sotware platform and use case development for enterprise customers with 10-500+ users.- Built productionalized XGBoost classification model with automated data ingestion, model versioning/updating, daily batch predictions and real-time scoring via an api endpoint.- Co-designed technical upskilling roadmap for internal groups and trained 100+ users on ETL worklows, data science best practices, and model deployment.
Physicist
My primary role is focused on development and adoption of advanced imaging technology into clinical workflow for proton therapy radiation treatment. I also work on hardware and software technology development, simulation and modeling, systems integration, mock treatment design, and development of software tools to improve both workflow and analysis.Specifics include:- Development, evaluation, and integration of proton radiography and proton tomography systems- Developed and run Monte Carlo simulations in C++ (Geant4) to model beamline kinematics, patient dose distributions, and prototype proton radiography system for clinical use- Extensive use of software (Python) for data analysis and visualization
Process Engineer
I worked in R&D to develop and optimize processes for thin film modification of metals, semiconductors, and dielectric materials for integration into advanced logic and memory devices. This work targets node 7 through node 3 development. Specifics include:- Developing and executing experiments on capital equipment aimed at modifying the physical and electrical properties of materials- Analysis of material and device performance through various types of measurements, including, but not limited to: XPS, XRR, XTEM, EELS, SEM, SIMS, RBS, Vt, and Rs- Research into ion implantation and plasma based processing to achieve customer targets- Developing DOE using JMP to extract key process parameters controlling film modification- Writing patents (4 granted, 2 awaiting grant status) - Collaborating with several international institutions to understand fundamental properties of materials through both modeling and experiment
Research Scientist
I developed DOE (design of experiments) for various semiconductor fabrication processes in addition to calibration and characterization of thin films.Current technical skills:• Device fabrication: photolithography, ALD, CVD, RIE, evaporation, sputtering, passivation, and wet chemical etches• Device characterization: Photovoltaic cells (PCE and EQE) , transistors (leakage and transfer curves), and FPGA based data acquisition • Film characterization: AFM, SEM, UV-VIS Spectroscopy, C-V, and 4-probe measurements• Fabrication and purification of carbon nanotubes followed by integration into various devices
Phd Candidate In Physics
My dissertation, titled "Nanostructured Carbon Nanotube-Silicon Schottky Junction Solar Cells", details my doctoral research on photovoltaics. The fabricated devices, which use a carbon nanotube film spray deposited onto silicon nanowires, demonstrate a modulated power conversion efficiency through electronic gating of the active area carbon nanotube film. A power conversion efficiency of over 15% is demonstrated.
Teaching Assistant
Taught both undergraduate lab and discussion sections for the UF physics department.
Assistant Specialist
My research at SCIPP focused on two projects: 1) A feasibility of study using proton computed tomography to image a deeply embedded simulated tumor (done in collaboration with Loma Linda Medical Center), and 2) Analyzing the charge collection efficiency of irradiated silicon strip detectors for use in the ATLAS detector at CERN. These projects involved programming in C++ and ROOT, extensive electronics fabrication and troubleshooting, working with FPGA based systems for data extraction and analysis, and standard semiconductor characterization techniques (e.g. two probe measurements for capacitance).
Maureen Petterson education
Doctor Of Philosophy (Phd), Physics
Bs, Astrophysics
Data Science Fellow, Data Science And Machine Learning
Frequently asked questions about Maureen Petterson
Quick answers generated from the profile data available on this page.
What company does Maureen Petterson work for?
Maureen Petterson works for Chord Robotics.
What is Maureen Petterson's role at Chord Robotics?
Maureen Petterson is listed as Principal Robotics Engineer at Chord Robotics.
What is Maureen Petterson's email address?
AeroLeads has found 1 work email signal at @iontra.com for Maureen Petterson at Chord Robotics.
Where is Maureen Petterson based?
Maureen Petterson is based in Denver, Colorado, United States while working with Chord Robotics.
What companies has Maureen Petterson worked for?
Maureen Petterson has worked for Chord Robotics, Tripleten, Iontra Inc, Dataiku, and Protom International.
How can I contact Maureen Petterson?
You can use AeroLeads to view verified contact signals for Maureen Petterson at Chord Robotics, including work email, phone, and LinkedIn data when available.
What schools did Maureen Petterson attend?
Maureen Petterson holds Doctor Of Philosophy (Phd), Physics from University Of Florida.
What skills is Maureen Petterson known for?
Maureen Petterson is listed with skills including Device Characterization, Physics, Sensors, Afm, Latex, Labview, Inorganic Photovoltaics, and Nanotechnology.
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