• Research & triage attacker techniques• Develop & productize analytics to proactively detect these attacks in large (>500k machine) datasets• Focus on entity reputation aggregation and other data-driven approaches• Source new data streams as needed to support attack detection, subject to performance, bandwidth, storage, privacy constraints• Specialize in network-based attacks• Train and co-manage a team of 8 graders/hunters. With this team, "hunt" over customer data to identify attacks and vulnerabilities• Author reports detailing organizational impact of hunt findings, and recommend mitigations; discuss these with customer

• Software Engineer / Data Scientist for the BluVector Cyber Intelligence Platform, primarily focused on analytics• Investigate, develop, and operationalize novel machine learning techniques for malware detection• Research -> prototype -> productize filetype-specific feature selection and extraction methods• Create customer-facing GUI to expose parameter tuning and associated classifier statistics• Develop primarily in Java, Python

• Aerospace Controls Laboratory (ACL), Laboratory for Information and Decision Systems (LIDS)• Investigate and develop Bayesian Nonparametric Algorithms (BNPs) for learning and decision making• With two collaborators, developed Simultaneous Clustering on Representation Expansion (SCORE) algorithm (see below).

Project: X-47B (Unmanned Combat Air System Demonstrator, UCAS-D, United States Navy).• Supported TC's (Test Conductors) and MO's (Mission Operators) in executing tests, e.g. Wing Fold and Spread, and LMST (Low/Medium Speed Taxi).• Wrote “BrainBooks” for several Air Vehicle Subsystems including ECS (Environmental Control System), Fuel System, and Hydraulics, to be used for troubleshooting and system familiarization

Project: E-2D Advanced Hawkeye• Reviewed BTPs and other reports generated from the completed wiring diagrams of the E-2D aircraft.• Experience in reading + authoring technical drawings, reports, and Engineering Orders.