Ivan Villa-Renteria Email & Phone Number

Guiding and mentoring students through independent projects spanning many domains, such as musical audio, computer vision, and NLP.

Revised and maintained Google Colab notebooks to enhance student learning experience. Taught high schoolers on AI/ML methods and techniques such as deep neural networks and gradient descent. Gave spotlight presentations on adversarial examples and generative AI.

Palo Alto, California, United States

Overseeing diffusion model training experiments on large datasets for controllable musical audio generation via user interfaces, as well as designing new AI model architectures and leveraging LLMs for synthetic data generation

Taught “Design and Analysis of Algorithms” (CS 161), “Natural Language Understanding” (CS 224U), and "Randomized Algorithms and Probabilistic Analysis" (CS265) to 1000+ students. Responsibilities included hosting office hours, grading homework, leading weekly recitation sections, and mentoring students on final projects.

Contributed to, utilized, and optimized data acquisition and preprocessing pipeline for 3D object model and 3D scene segmentation and labelling via Autodesk 3DS Max for BEHAVIOR-1K (https://behavior.stanford.edu/), nominated for best paper award at CoRL.

Palo Alto, California, United States

Spearheaded MLOps strategy by collaborating with SWE team to deploy computer-vision-based social media post recommendation system for enhanced user experience.

Organized volunteers for QCHack 2021, matched participants to teams, facilitated communication between organizing team and Yale Quantum Institute fellows to create non-technical challenge.

Palo Alto, California, United States

Conducted literature review for NLP in psychotherapy. Helped implement a VR chatbot using OpenAI GPT-3 API. Used prompt engineering to enhance quality of chatbot results.

Collected public data from California Department of State to analyze local voter trends, generated voter turnout increase targets for congressional district candidates's voter outreach strategy.

Tokyo, Japan

Survey and analysis on machine learning systems security. Gave a lecture on machine learning basics and adversarial examples to high schoolers.

Bachelor'S + Master’S (Coterm), Computer Science

Activities and Societies: Japanese Student Union (CFO), Stanford Quantum Computing Association (Projects & Hackathon Committee Member).

Education record

Studied abroad in Japan and took classes in Japanese language, religion, ceramics, and current events.

Education record

Activities and Societies: Robotics Club (Robot Designer), Science Club (President), Mariachi (Harp Player), Academic League (Captain.