Maggie Engler
About
Maggie works in the following industries: "Defense & Space", "Computer Software", "Internet", "Higher Education", "Research", "Civic & Social Organization", and "Computer & Network Security". Maggie is currently Senior Data Scientist at Twitter. In Maggie's previous role as a Adjunct Lecturer at Penn State Law, Maggie worked in until May 2021. Prior to joining Penn State Law, Maggie was a Lead Data Scientist at The Global Disinformation Index and held the position of Lead Data Scientist. Prior to that, Maggie was a Assembly Fellow at Berkman Klein Center for Internet & Society at Harvard University from Feb 2020 to May 2020. Maggie started working as Data Scientist at Duo Security in Austin, Texas Area in Sep 2018. From Jul 2017 to Aug 2018, Maggie was Cyber Analyst at Cyence, based in San Francisco Bay Area. Prior to that, Maggie was a Security Research Intern at Trail of Bits from Dec 2016 to Jan 2017. Maggie started working as Machine Learning Engineer Intern at Webroot in Greater San Diego Area in Jun 2016.
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Maggie Engler's current jobs
Maggie Engler's past jobs
Co-developed and co-taught Epochal Happenings: AI's Past, Present and Future (BUSLW 997) with Prof. Lawton Cummings, Prof. Tom Meredith, and Will Griffin during the Spring 2021 semester.
Worked on detecting and demonetizing the spread of online disinformation. https://www.disinformationindex.org
The 2020 Assembly Fellowship gathers a competitively-selected cohort of individuals who work primarily in the private sector, as well as government and non-profits, to explore emerging problems related to disinformation from a cybersecurity perspective.
At Duo, I owned data analysis for reports and built models and tooling for internal consulting work.
Supported Cyence's cyber risk analytics platform by collecting and evaluating new data sources and applying statistical learning methods to assess risk.
Interned over winter break working on project on applying machine learning to fuzz testing to discover optimal fuzzing parameters.
Contributed to proprietary learning engine used within company for cyber-related classification tasks.
Worked on two projects in Prof. Tse's bioinformatics research group, on modeling somatic mutations and partially reassembling genomes under suboptimal assembly conditions.
Worked to automate de-obfuscation of binary files using a variety of cryptologic techniques and completed training course on malware analysis.