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Daniel Ellis Email & Phone Number

Machine Learning Engineer at Noblis at Noblis
Location: Arlington, Virginia, United States 12 work roles 2 schools
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Current company
Role
Machine Learning Engineer at Noblis
Location
Arlington, Virginia, United States
Company size

Who is Daniel Ellis? Overview

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Quick answer

Daniel Ellis is listed as Machine Learning Engineer at Noblis at Noblis, a with 1335 employees, based in Arlington, Virginia, United States. AeroLeads shows a matched LinkedIn profile for Daniel Ellis.

Daniel Ellis previously worked as Machine Learning Engineer at Noblis and Software Engineer at Booz Allen Hamilton. Daniel Ellis holds Bachelor'S Degree, Mathematics And Computer Science from Washington University In St. Louis.

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Email format at Noblis

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Noblis

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Profile bio

About Daniel Ellis

My name is Daniel Ellis, and I am currently machine learning engineer at Noblis. I graduated from Washington University in St. Louis in 2022 with a degree in computer science and math, with a focus on data science, machine learning, and numeric optimization. I have extensive experience working with Python and C/C++ for ML (PyTorch & ONNX), and am also proficient in Java, SQL, Matlab, and MS Excel. In my free time, I enjoy mountain biking, reading, and cooking barbecue.

Current workplace

Daniel Ellis's current company

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Noblis
Noblis
Machine Learning Engineer at Noblis
Arlington, VA, US
Website
Employees
1335
AeroLeads page
12 roles

Daniel Ellis work experience

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Role listed

Arlington, Va, Us

Machine Learning Engineer

Current

Reston, Va, Us

Feb 2024 - Present

Teaching Assistant: Cse 517A Machine Learning

St. Louis, Mo, Us

- Led biweekly office hours to assist students with understanding and applying course concepts, and provided feedback to the professor on common areas of misunderstanding-Graded weekly homework and exams

Jan 2022 - May 2022

Teachers Assistant: Cse 217A Introduction To Data Science

St. Louis, Mo, Us

- Moderated a weekly lab section to facilitate collaboration among students in applying concepts learned in lecture-Graded weekly homework and exams

Jan 2022 - May 2022

Head Teaching Assistant: Cse 544T Bayesian Optimization

St. Louis, Mo, Us

- Led biweekly office hours to assist students with understanding and applying course concepts, and provided feedback to the professor on common areas of misunderstanding-Managed course web page, question forum, and online grading system

Aug 2021 - Dec 2021

Engineering Tutor

St. Louis, Mo, Us

- Tutored students in machine learning, optimization, introductory data science, and calculus courses on a weekly basis while assessing each student’s homework and exam progress to identify areas of improvement

Sep 2019 - Dec 2021

Cyber Intern

Mclean, Va, Us

- Developed an interpretable classifier model to detect encrypted malicious network traffic, achieving 99% accuracy in testing and enabling analysts to automatically identify malicious traffic sources and features- Created an end-to-end data processing module leveraging Wireshark's command line interface to collect, filter, and summarize network data, streamlining the data collection process and saving time for analysts- Embedded the data collection and classifier modules into a web-based suite of tools for encrypted traffic analysis and threat detection, lowering the barrier of entry and optimizing the workflow for network analysts

Jun 2021 - Aug 2021

Drivetrain Lead

Saint Louis, Missouri, Us

- Led subsystem onboarding efforts, collaborating with other team leads to present training material and assign projects to new team members- Managed subsystem progress throughout design, manufacturing, and testing stages of component production

Jun 2019 - Sep 2020

Drivetrain Engineer

Saint Louis, Missouri, Us

- Created a novel algorithm for predicting forces on sprocket teeth, allowing for improved topology optimization, resulting in 25% weight reduction compared to previous designs

Sep 2018 - Sep 2020

Software Engineer Intern

Tel Aviv, Tel Aviv, Il

- Developed a machine learning model to classify environments and detect events for an audio-based security system, achieving over 90% accuracy in testing on 30 different environments and events- Integrated the classification model into a larger analysis toolbox, streamlining the security analysis pipeline

Jun 2019 - Aug 2019
Team & coworkers

Colleagues at Noblis

Other employees you can reach at noblis.org. View company contacts for 1335 employees →

2 education records

Daniel Ellis education

Bachelor'S Degree, Mathematics And Computer Science

Washington University In St. Louis

Education record

St. Paul Academy And Summit School
FAQ

Frequently asked questions about Daniel Ellis

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

What company does Daniel Ellis work for?

Daniel Ellis works for Noblis.

What is Daniel Ellis's role at Noblis?

Daniel Ellis is listed as Machine Learning Engineer at Noblis at Noblis.

Where is Daniel Ellis based?

Daniel Ellis is based in Arlington, Virginia, United States while working with Noblis.

What companies has Daniel Ellis worked for?

Daniel Ellis has worked for Noblis, Booz Allen Hamilton, Washington University Mckelvey School Of Engineering, Wash U Racing, and Abilisense.

Who are Daniel Ellis's colleagues at Noblis?

Daniel Ellis's colleagues at Noblis include Bill Davidson, Stuart Frye, James John, Valerie Dethomas, and Garret Mckeon.

How can I contact Daniel Ellis?

You can use AeroLeads to view verified contact signals for Daniel Ellis at Noblis, including work email, phone, and LinkedIn data when available.

What schools did Daniel Ellis attend?

Daniel Ellis holds Bachelor'S Degree, Mathematics And Computer Science from Washington University In St. Louis.

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