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Marcus C. Allen, Ph.D. Email & Phone Number
Technical Lead
at
RTX
1 work email found
@rtx.com
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Who is Marcus C. Allen, Ph.D.? Overview
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Marcus C. Allen, Ph.D. is listed as Technical Lead at RTX, based in Greater Boston, United States, United States. AeroLeads shows a work email signal at rtx.com and a matched LinkedIn profile for Marcus C. Allen, Ph.D..
Marcus C. Allen, Ph.D. previously worked as Senior Principal Data Scientist at Rtx and Principal Investigator at Rtx. Marcus C. Allen, Ph.D. holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from University Of Pittsburgh.
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Email format at RTX
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*@rtx.com
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Profile bio
About Marcus C. Allen, Ph.D.
In today’s competitive market, companies that make quick, informed decisions with large datasets enjoy the benefits of millions of dollars in savings and profits. As a Senior Principal Data Scientist at RTX, I develop and deploy analytic software products to make real-time data-driven decisions as part of the Applied AI team. With experience and certifications in cloud computing (AWS, Azure) and machine learning (TensorFlow, PyTorch, Scikit-learn), I’m a key contributor in creating large-scale software solutions with the flexibility to add requirements as new business values are recognized. This pairs well with my mechanical engineering experience to develop digital twins of electromechanical systems to predict when repairs are needed. Some of my machine learning solutions include recommendation systems to find alternative parts for obsolete ones, deep learning for predictive financial analytics, and computer vision models to detect patterns in large sets of images.My research experience has kept me current on the latest technologies within the field of data science. For my Ph.D. dissertation, I applied machine learning techniques to develop a framework for an automated stroke rehabilitation system using inertial measurement units (IMUs). At RTX, as a principal investigator and R&D team member, I researched the latest techniques in anomaly detection, natural language processing, and data wrangling. These efforts resulted in the creation of several intellectual properties.More importantly, capturing customer requirements and planning the work with the team is the key to success. Each project is treated as a start-up where the business model canvas is used to capture the problem statement and the business value of the solution. The Scaled Agile Framework is then used to plan tasks to accomplish our goals along with collaborative tools such as GitHub, Jira, and Confluence to coordinate efforts with my team members.✨✨✨ Expertise summary ✨✨✨✔Focus: mechanical and systems engineering, machine learning/artificial intelligence, control systems, dynamics, and motion capture.✔Programming experience: C++, C#, Git, Javascript/Typescript, Matlab, and Python.✔Data science/ML experience: anomaly detection, computer vision, data wrangling, deep learning, large language models, and time series forecasting.✔Hardware experience: Arduino, Raspberry Pi, IMU, optical tracking systems.
Listed skills include Matlab, Solidworks, Microsoft Office, Research, and 21 others.
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Marcus C. Allen, Ph.D.'s current company
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6 roles
Marcus C. Allen, Ph.D. work experience
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Senior Principal Data Scientist
Current- Develop production-ready code to enable multiple business areas to make quicker, data-driven decisions as part of the Applied AI team.
- Coordinate projects using Scaled Agile Framework and rank project priority by business value and time-commitment.
- Integrate SOLID principles and Test Driven Development (TDD) into newly developed and refactored code to prepare for production environments.
- Streamline real-time analytic software to 30,000 Missile & Defense employees through internal websites.
- Formalize predictive algorithms to help business units make proactive decisions that can increase sales by 25%.
Jun 2022 - Present
Principal Investigator
- Directed external collaboration contract R&D project between Raytheon and Internal TechneGroup Inc. titled Cognitive On-demand Design Advisor.
- Led software development and research efforts to ensure a minimum viable product (MVP) is created.
- Incorporated manufacturing data and Microsoft’s Azure cloud computing platform to help design engineers predict manufacturing or field defects.
- Delivered software that aims to reduce obsolescence-related engineer change orders (ECOs) by 20% and save more than $1 million per year.
Oct 2022 - Nov 2023
Senior Machine Learning Engineer
- Supervised a multi-disciplinary engineering team that is responsible for a series of machine learning R&D projects and generating intellectual property. Coordinated technical tasks for 5 team members using the scrum.
- Developed machine learning models (predictive maintenance) for manufacturing processes decreased production costs by approximately 25%.
- Collaborated with our Digital Transformation team to discover new ways to leverage our large datasets to enable smart workstations in manufacturing and accelerate business decisions.
- Translated a complex Industry 4.0 solution to a high-level workflow for a 100+ people at a Raytheon conference.
- Contributed to the pattern of life machine learning models that leveraged ADS-B time-series data to increase situational awareness of potential threats, enabling customers to make real-time decisions 10% faster.
- Presented the team's progress and findings each quarter to senior leadership to ensure that the project’s direction was aligned with customer and management needs.
Oct 2019 - Jun 2022
Graduate Research Assistant
- Data-Driven Rehabilitation Development for Stroke Patients Using Machine Learning TechniquesWrote my dissertation that contained the test plan, rehabilitation tools, and results that were used for the submission of.
- Anomaly Detection in a Nuclear Power PlantFormulated features for a machine learning project where anomaly detection methods were used to predict faults in a nuclear power plant and help reduce inspection time by at.
- Cervical Spine Activities of Daily Living StudyCharacterized the loss of range of motion after cervical spine fusion surgery using IMUs. o This was a preliminary study to create a system that helps chiropractors.
- A State-Dependent Coefficient (SDC) Estimator for the Knee Joint AngleThis was a preliminary study for a functional electrical stimulation controller to help restore lower limb functions for patients with neurological.
Aug 2014 - Nov 2019
Teaching Assistant: Engineering Analysis Course
- Introduced programming languages such as Unix, HTML, JavaScript, Excel, MATLAB, and C++.
- Awarded Best Teaching Assistant in Mechanical Engineering & Material Sciences.
Jan 2015 - Oct 2019
2 education records
Marcus C. Allen, Ph.D. education
Doctor Of Philosophy (Ph.D.), Mechanical Engineering
University Of Pittsburgh
Bachelor'S Degree, Mechanical Engineering
University Of Rhode Island
FAQ
Frequently asked questions about Marcus C. Allen, Ph.D.
Quick answers generated from the profile data available on this page.
What company does Marcus C. Allen, Ph.D. work for?
Marcus C. Allen, Ph.D. works for RTX.
What is Marcus C. Allen, Ph.D.'s role at RTX?
Marcus C. Allen, Ph.D. is listed as Technical Lead at RTX.
What is Marcus C. Allen, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @rtx.com for Marcus C. Allen, Ph.D. at RTX.
Where is Marcus C. Allen, Ph.D. based?
Marcus C. Allen, Ph.D. is based in Greater Boston, United States, United States while working with RTX.
What companies has Marcus C. Allen, Ph.D. worked for?
Marcus C. Allen, Ph.D. has worked for Rtx and University Of Pittsburgh.
How can I contact Marcus C. Allen, Ph.D.?
You can use AeroLeads to view verified contact signals for Marcus C. Allen, Ph.D. at RTX, including work email, phone, and LinkedIn data when available.
What schools did Marcus C. Allen, Ph.D. attend?
Marcus C. Allen, Ph.D. holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from University Of Pittsburgh.
What skills is Marcus C. Allen, Ph.D. known for?
Marcus C. Allen, Ph.D. is listed with skills including Matlab, Solidworks, Microsoft Office, Research, C++, Microsoft Powerpoint, Statistics, and Microsoft Excel.
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