Matthew W.
Studied at Stanford University
Works at Stanford University
Available Tuesday at 5:30 PM UTC
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About Matthew
I’ve built my career at the intersection of technology, language, and human connection. I currently run an AI-powered EdTech startup and serve as a course facilitator for one of Stanford’s online AI programs. Before that, I studied AI at Stanford, founded a mental health startup, and worked in data science and analytics at Facebook, Capital One, and Vivint Smart Home. After more than a decade in industry, I took a nontraditional leap back to school—a mix of burnout, curiosity, and a desire to have a bigger impact. That decision reflects how I think about learning, growth, and reinvention, and it’s why I now love helping others navigate their own pivots into AI. Outside of work, I a lot of my weekends are spent coaching my kids in soccer or skiing with them. I coach with the same mix of pragmatism, structure, and encouragement I bring to those moments—helping you use AI not just because it’s trendy, but because it can make a genuine difference in your life.
Why do I coach?
I’ve always been drawn to coaching. One of my primary inspirations is my high school physics teacher, who left a lucrative career to teach high school students and knew how to engage us while constantly challenging us to reach the next level. That experience stuck with me—I’ve grown the most when someone helped me see the next gap I could close right now. Some of the most meaningful moments in my career have come from helping others have those same “aha” moments—whether leading teams, mentoring peers, or guiding students through AI projects at Stanford. I love watching things click for someone, when they see not just what’s possible but how to make it happen. I coach because I believe growth happens through curiosity, challenge, and encouragement. My goal is for every session to leave you with practical tools, a clear next step, and the energy to go build something meaningful.
Work Experience
Founder/CEO
Talio Language
June 2025 - Present
Applying linguistics, LLMs, data science in the EdTech space
Course Facilitator
Stanford University
April 2024 - Present
Course facilitator (e.g. TA) for XCS236, the Deep Generative Models course within Stanford's professional certificate program Generative AI and Instruction
Co-Founder, CTO
TherapyAI
June 2024 - June 2025
Closing the mental health coverage gap
Data Science
Meta (Facebook)
June 2020 - July 2023
Interviewer
Design of Experiments (DOE), Causal Inference and +3 skills
Manager, Strategy & Analytics
Vivint
May 2018 - December 2019
Hiring Manager
Data Analysis Manager
Capital One
July 2013 - May 2018
Admissions Committee
-Lead analysis, development, and testing for customer solutions pod, which creates and improves products that help customers get out of delinquency -Developed a way to measure the marginal value of agent calls through creative analysis of complex test data; reduced call center costs 30% by optimizing call frequency -Increased usage of a customer product 22% by identifying under-served segments, resulting in 30% lower segment loss rates -Spearheaded development of a recession playbook -Created comprehensive, automated Tableau dashboards to monitor customer solutions performance metrics -Created a new forecasting model for a $2B business line that reduced forecast error by 50% -Completed analysis for design, test, and launch of Auto Navigator, a new direct-to-consumer auto finance product
Matthew was also given offers to work at
Goldman Sachs
Education
Brigham Young University
BS, Economics, Business Strategy
Mandarin, Linear Regression and +3 skills
Stanford University
Graduate Certificate, Artificial Intelligence, Computer Science
2023 - 2024
Grade: 3.92/4.0 4 graduate-level AI courses in hybrid on-campus/virtual format -CS236: Deep Generative Models -CS224N: Deep Learning w/Natural Language Processing -CS229: Machine Learning -CS221: Artificial Intelligence Principles Neural Networks, Machine Learning and +3 skills