The STEM Stitch, a non-profit Katie founded, aims to provide STEM resources to students in rural areas.

Intersection of computer science and domestic violence advocacy

Importance of STEM education in rural communities

Youth empowerment and community service

Balancing passion projects with academic pursuits

Transitioning to Tech: The Data Science Bootcamp she took and Data Science Portfolio

Overcoming Burnout: Acknowledge burnout, take breaks, reassess goals, and seek support.

Online Learning - Align courses with goals, bridge theory & practice, be consistent & participate.

Udacity Nanodegree - Demanding & rewarding, online flexibility + structured learning.

Soft Skills for Data - Soft skills connect data to results (communication & empathy).

Leader vs. Follower - Value in both! Lead = vision, Follow = mentorship & growth.

AI & Data Science for K-12 - Real-world applications, engaging activities to spark curiosity.

Joy is a client-facing AI Engineer at IBM using generative AI for customer service, content generation, etc.

She transitioned from data scientist (traditional machine learning) to AI Engineer (generative AI).

Her internship at IBM led to a full-time role. As an account manager, she supported data center expansion projects.

At BMW, she built a predictive model for customer purchasing behavior.

Outside of work, she enjoys hobbies like pilates and ceramics to prevent burnout.

Data Science Career: Climbed the ladder from intern to senior data scientist at Intuit AI, designing models for various uses. Enjoys continuous learning and driving positive outcomes with data.

Ph.D. in CS: Overcame challenges to earn a Ph.D. in a field with low female representation. Passionate about diversity and inclusion in tech.

Deep Learning for Computer Vision: Explained the process and its applications in healthcare, transportation, security, etc.

Mentoring & Teaching: Advocated for diversity through communities and mentored future generations in tech. Highlighted the importance of introducing data science concepts to K-12 students.

Psychology & Research: Holds degrees in Psychology and Criminology, with research experience in eating habits, social media addiction, and translating data into actionable insights.

Freelance Researcher: Currently works as a freelance researcher with interests in health, clinical, and sport psychology.

Volunteer Work: Actively volunteers for organizations related to psychology and youth development.

Research Focus: Utilizes machine learning with electronic health records to create decision support tools in psychiatry.

Background: Holds a B.Sc. in Biology and Psychology, transitioned to a Ph.D. in Computational Psychiatry. Won 1st place in a National Big Data Competition.

Academic Achievements: Her 29 awards, including academic, research, presentation, leadership, and graduate awards. Maintains a 4.0 GPA.

Career Path: Business Intelligence Developer -> Data Engineer at a pizza chain 

Passion: Using data to improve public health and social well-being

Skills: Data analysis, ETL design, data warehousing best practices

Research: Published paper on maternal stress and child sleep, ensured data accuracy for social science research

Data Ethics: Committed to maintaining data integrity and privacy, especially for health data

Project Management: Experience supporting researchers with health and minority data

Diversity & Inclusion: Works to address undercoverage bias and promote data fairness

Journey to STEM: Debunks myths about data science