Experience

Virginia Tech Department of Computer Science

• United States
• Higher Education
• 1 - 100 Employee

• Graduate Instructor of Record

  • Jan 2023 - Present

  CS 3724 (Introduction to Human-Computer Interaction), Spring 2023 CS 1064 (Introduction to Programming using Python), Summer 2021 CS 3724 (Introduction to Human-Computer Interaction), Spring 2023 CS 1064 (Introduction to Programming using Python), Summer 2021



Virginia Tech

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant, Learning Analytics, TLOS

  • Jan 2016 - Present

  I work on modeling key deficiencies in undergraduate engagement to predict and recommend next-semester STEM coursework. I like clunky, diverse ensemble models, and I like methods that balance predictive and explanatory power. I work on modeling key deficiencies in undergraduate engagement to predict and recommend next-semester STEM coursework. I like clunky, diverse ensemble models, and I like methods that balance predictive and explanatory power.



Virginia Tech Department of Computer Science

• United States
• Higher Education
• 1 - 100 Employee

• Graduate Teaching Assistant

  • May 2020 - Jul 2020



Illumina

• United States
• Biotechnology Research
• 700 & Above Employee

• Data Science Intern

  • Jun 2018 - Aug 2018

  Designed ‘lateral search’: a tool that improves retroactive cyber-threat detection accuracy by about 6%. The tool detects anomalies by connecting entities across people, software and network trace data stores. Designed ‘lateral search’: a tool that improves retroactive cyber-threat detection accuracy by about 6%. The tool detects anomalies by connecting entities across people, software and network trace data stores.



Rockwell Collins

• United States
• Aviation and Aerospace Component Manufacturing
• 700 & Above Employee

• Data Science Intern

  • May 2017 - Aug 2017

  Worked on an entity resolution (ER) algorithm which improved named-record classification accuracy in enterprise data stores by 10-15%. Worked on an entity resolution (ER) algorithm which improved named-record classification accuracy in enterprise data stores by 10-15%.



Be-IQ

• Financial Services
• 1 - 100 Employee

• Data Science Intern

  • May 2016 - Aug 2016

  Modeled loss aversion, perceived risk and financial aptitude of key consumer demographics in a single consolidated score, the Behavioral IQ (http://beiq.co.uk). Important for microtargeting applications. Modeled loss aversion, perceived risk and financial aptitude of key consumer demographics in a single consolidated score, the Behavioral IQ (http://beiq.co.uk). Important for microtargeting applications.