Dr. E.

Key Skills

Software

Other

Top Subject Matter

Medical device cybersecurity adjacent? (ML movement sensing)

Cybersecurity threat intelligence

mobile communications

Top Data Types

Text

Document

Top Task Types

Data Collection

Classification

Entity (NER) Classification

Freelancer Overview

Principal Research Investigator (classification framework) for upper limb movement data with clinical trials (wrist-worn. Brings 24+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Philosophy, Catholic University of America and Master of Science, George Washington University. AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Data Collection, Classification, and Entity (NER) Classification.

Labeling Experience

Cyber Strategy Implementation Lead (Principal Engineer) - The Mitre Corporation

Classification

Led cybersecurity strategy implementation and engineering for biomedical and mobile threat hunting programs in regulated environments. Partnered with product and engineering teams to identify risks early, translate findings into actionable security controls, and guide implementations that meet program and review standards. Managed complex cross-functional delivery across cybersecurity, data, and machine learning capabilities while ensuring security outcomes were measurable and defensible. • Direct mobile threat hunting program execution and ML-based URL classification for mobile cyber threat intelligence • Co-authored FDA/MITRE guidance on practical threat modeling for medical devices • Produced executive roadmaps from structured threat hunting gap analysis and SME interviews • Led governance and roadmap delivery for initiatives strengthening critical infrastructure cyber posture

2024 - Present

Director / Project lead for Mobile Threat Hunting ML URL classification project

OtherTextClassification

Directed a Mobile Threat Hunting project to train a machine learning model for URL classification using industry mobile cyber threat intelligence. Conducted mini-lab experiments to understand how open source security products capture and store SMS and other message data relevant to the ML workflow. Authored project documentation capturing data handling decisions and model findings to support operational adoption. • Produced ML-ready datasets derived from threat intelligence sources • Assessed SMS/message capture fidelity for downstream learning use • Trained and evaluated URL classification model based on collected data • Documented experiments and findings for stakeholders

2019 - 2020

Principal Research Investigator (classification framework) for upper limb movement data with clinical trials (wrist-worn medical device)

OtherData Collection

Led efforts to create a robust classification framework using data mining and machine learning applied to upper limb movement datasets collected from a wrist-worn medical device. The work included planning how movement data would be captured and structured for downstream model training and evaluation. Clinical trial execution supported generation of labeled/usable datasets for model development and validation. • Defined data capture methodology for upper limb movement signals • Coordinated experimental protocol and trial operations for data generation • Supported preparation of datasets for ML model training and testing • Validated movement data quality through trial-driven evidence

2012 - 2016

Senior Artificial Intelligence Engineer - The Mitre Corporation

DocumentClassification

Worked as a Senior Artificial Intelligence Engineer to build machine learning solutions that supported cybersecurity and intelligence analysis objectives. Designed and executed experiments to train and evaluate models on security-relevant data and communicated findings through technical publications. Collaborated with stakeholders across agencies to shape project scope, ensure data integrity, and meet deliverable requirements. • Developed ML-based frameworks for classification and analysis of security-relevant data streams • Led intelligence community data call coordination for Human Language Technology resources and Senate reporting • Authored comprehensive technical documents describing project methods, results, and impacts • Managed team execution on proof-of-concept efforts anticipating long-term technical needs of clients

2007 - 2016

Technical Lead for Human Language Technology (HLT) resources data call and ingest integrity

OtherTextEntity (NER) Classification

Provided technical leadership for an HLT data call intended to support an annual Senate report, requiring ingestion and integrity assurance of language resources. Coordinated with multiple agencies to improve database design so collected language data could be reliably used for analysis and downstream ML tasks. Oversaw team execution of the ingest process to maintain dataset quality. • Led ingestion workflow for human language technology resources • Ensured data integrity controls during dataset preparation • Collaborated across 10 agencies to refine database design • Enabled high-quality text datasets for analysis and ML use

2005 - 2007

Education

Work History