Kathryn Wicks Email & Phone Number

San Francisco, CA, US

San Francisco, California, US

Lexington, MA, US

- Developed security applications using a real-time hardware-in-the-loop power systems emulator.- Wrote data collection and cleaning scripts to analyze device telemetry and simulation data.- Modeled cyberattacks and grid failures, and used machine learning to analyze information generated by attacks to identify them with greater precision than traditional.

Cambridge, MA, US

Researching using ML and evolutionary computation to detect and develop cyberattacks and defenses in collaboration with MIT Lincoln Laboratory.

San Francisco, California, US

- Collaborated with many teams across the company to ensure data privacy, security, and good handling standards.- Reviewed and updated security policy as part of a team effort.

San Francisco, California, US

*Returning Winter 2020. - Wrote a technical specification for a new security classification workflow, to be used with all company data. Interviewed stakeholders from across the company, bringing other teams aboard for adoption and beta testing. - Designed a data model and made a NoSQL database on AWS DynamoDB. - Built a web app to display and search.

• Constructed a framework in Python for creating and training Named Entity Recognition (NER) models with Tensorflow, including an intuitive interface and a robust test suite. Validated the system’s usefulness by.
• Adapted the framework for use on the front-end to extract and display critical information to agents, solving a problem where overaggressive older models would show incorrect names and personal info to users.
• Collaborated with the artificial intelligence team to integrate a NER model into the model-training pipeline as a way to clean data, comply with strict privacy standards, and augment suggestions with specific details.

Boston, Massachusetts, US

• Analyzed speech transcription data to identify “problem areas” in conversations, uncovering significant accent bias in the quality of modern Automated Speech Recognizers (10% error vs. ~1% typical word error rate (WER)).
• Cut costs and increased data usability by demonstrating that speaker identity matters more than background noise to WER, allowing researchers to only hire transcribers for select accents.
• Designed and developed a website to present findings to researchers and non-technical conversation facilitators.
• Visualized conversations using D3 to let users explore hundreds of hours of audio efficiently by focusing on representative clips of speakers and high-error sections.

• Modeled cognitive engagement (CE) on an online educational forum (Nota Bene, >100,000 users), webscraping for data using a combination of Javascript and Python.
• Boosted CE model performance (6.5% absolute improvement) and eliminated expensive dependencies.
• Automated the creation of document heatmaps, which previously required tagging thousands of comments.
• Collaborated with professors of a >1,000 student class to improve the instructors’ user interface for engagement data.

Bronx, New York, US

Taught girls from 4th to 6th grade about the fundamentals of engineering and programming by leading them in robotics activities and design exercises.

- Conducted research on how corporations react to changes in upper management. - Extracted data from >40,000 raw SEC filings with natural language processing. - Analysed filing data using interrupted time-series techniques with stock information to determine the effect of leadership changes on a company’s performance. - Won awards from NYC Science and.

Created and integrated backend for a startup, managing user profiles with Firebase and handling time-sensitive data. Worked closely with frontend designers to rapidly add new site features using a combination of JavaScript and Flask.

As an intern, I tested software both manually and using QTP, and helped to create documentation. I worked in an Agile environment, and learned how to use Git, Excel, and TFS.

Master Of Engineering - Meng, Computer Science

Bachelor Of Science - Bs, Computer Science

High School Diploma