Tatiana Wu

ML @ Google   ·   Previously CS @ Stanford

Hi, I'm Tatiana! I graduated from Stanford University with a B.S. in Mathematical and Computational Science, an M.S. in Computer Science, and a minor in creative writing. I’m particularly interested in machine learning and data science, and in the intersection of technology, social good, and ethics. In my spare time, I enjoy fiction writing, playing piano, and teaching math and music theory. Feel free to check out my LinkedIn or GitHub below, or use the navbar to learn more about me.

Education

Stanford University

Master of Science
Computer Science - Artificial Intelligence Track

GPA: 4.105

Relevant Coursework:
  • CS 221: Artificial Intelligence: Principles and Techniques
  • CS 224N: Natural Language Processing with Deep Learning
  • CS 224U: Natural Language Understanding
  • CS 228: Probabilistic Graphical Models: Principles and Techniques
  • CS 229: Machine Learning
  • CS 231N: Convolutional Neural Networks for Visual Recognition
January 2020 - June 2021
Bachelor of Science
Mathematical and Computational Science
Minor in Creative Writing - Prose Track

GPA: 3.995

Computer Science Coursework:
  • CS Core
  • CS 142: Web Applications
  • CS 148: Introduction to Computer Graphics and Imaging
  • CS 154: Introduction to Automata and Complexity Theory
  • CS 168: The Modern Algorithmic Toolbox
  • CS 182: (Writing Intensive) Ethics, Public Policy, and Technological Change
  • CS 242: Programming Languages
  • CS 261: Optimization and Algorithmic Paradigms
  • CS 399: CS Research (2020-2021 school year)
Math/Engineering Coursework:
  • Math 51: Linear Algebra and Differential Calculus of Several Variables
  • Math 52: Integral Calculus of Several Variables
  • Math 53: Ordinary Differential Equations with Linear Algebra
  • Math 104: Applied Matrix Theory
  • MS&E 211X: Introduction to Optimization
  • MS&E 221: Stochastic Modeling
  • Stats 191: Introduction to Applied Statistics
  • Stats 200: Introduction to Statistical Inference
  • Stats 202: Data Mining and Analysis
Creative Writing Coursework:
  • English 90: Fiction Writing
  • English 92: Reading and Writing Poetry
  • English 146S: Secret Lives of the Short Story
  • English 190E: Novel Writing Intensive
  • English 190YA: Young Adult Fiction
September 2017 - June 2021

Work Experience

Software Engineer

Google

Working on ML models on the Ad Traffic Quality team.

August 2021 - Present

Researcher

Stanford University

I was accepted as part of the Autumn 2020 cohort for the AI for Climate Change bootcamp at Stanford ML Group under Prof. Andrew Ng.

I worked with a small group of other cohort members to learn urban representations for neighborhoods using spatiotemporal data.

Languages/Frameworks: Python, PyTorch (Lightning)

September 2020 - July 2021

Software Engineering Intern

Google

I interned on the AdWords Conversion Tracking (AWCT) team under Google Ads.

My work focused on updating and improving one of my team's models for conversion tracking. In particular, I built deep neural networks (DNNs) for a multiclass classification task and applied model improvements by adding new features and tuning the model hyperparameters and architecture. I also led and documented the migration process from TF1 to TF2 and Keras for my team's existing models.

Unfortunately, I can't provide any more details about the project tasks or model performance. However, I'm happy to talk about the high-level technical work I did.

Languages/Frameworks: C++, Python, TensorFlow, Keras

June 2020 - September 2020

Other Experience

Data Analysis Consultant

Matrix Capital Management

I worked on a project for MCM through Alpha Kappa Psi (Stanford's pre-professional business fraternity) to visualize the ongoing economic impact of COVID-19.

Using Flask and Flask-SQLAlchemy, I built a web application to facilitate data querying and visualization for data stored in a PostgresSQL database. I implemented basic login and authentication for the application and exception handling for improper queries to the database.

The web application I built allows MCM to remove the intermediary between non-technical company members and the unprocessed economic data. Using the query API, users can specify companies (or industries) of interest and visualize economic data without having to deal with PostgresSQL or the backend data analysis.

Languages/Frameworks: Python, HTML/CSS, Flask

March 2020 - June 2020

Equity Research Consultant

Parnassus Investments

I assisted in constructing investment memos for companies with strong ESG merits.

I worked in small groups of 2-3 weekly to research a new company and draft one-hour drills summarizing the information in an investment thesis.

April 2019 - May 2019

Projects

Photo App

Class project for CS 142: Web Applications.

I built a photo web app using Node.js and React.

Typologically Diverse QA: How many training examples do you need for a new language anyway?

Class project for CS 224N: Natural Language Processing with Deep Learning.

Our project extends from Clark et al.'s "TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages." We performed experiments holding out varying amounts of training data from the TyDi QA dataset for the Golden Passage (GoldP) task and evaluating model performance to determine (1) whether our model generalizes well to new languages and (2) how little training data is needed to achieve a baseline model performance.

Read it on Reddit: LSTM Networks for Text Classification

Class project for CS 221: Artificial Intelligence.

My group implemented several LSTM networks with and without convolutional layers and word embeddings to classify Reddit self-posts into genres. Our models achieved a test accuracy of 78.7% and a balanced accuracy of 75.8% against an imbalanced dataset with 39 classes.

Memorium: Alexa Skill

Stanford TreeHacks 2018.

I took part in designing and testing Memorium, an Alexa Skill that has conversations with a user and performs a sentiment analysis to classify a memory based on a sentiment score. Our project won the award for Best Voice Experience Using Amazon Alexa.

Skills

Technical Skills

As far as programming goes, I'm proficient in:

  • Python
  • C / C++
  • Java

I also have experience working with several other tools and languages:

  • Unix
  • R
  • MATLAB
  • LaTeX
  • JavaScript
  • HTML/CSS

I've worked with the following web application and machine learning frameworks:

  • TensorFlow
  • Keras
  • Scikit-learn
  • PyTorch
  • Flask
Teaching

I have experience teaching and working with students of all ages:

Math (up to and including multivariable calculus):

  • I was a math instructor at the Mathnasium of Crofton (May 2017 - August 2017), where I instructed and assessed elementary, middle, and high school students in math up to pre-calculus.
  • I served as teaching assistant in my high school Multivariable Calculus course, tutoring students in one-on-one study sessions, including homework help.

Music theory:

  • I assisted my piano teacher in instructing and assessing students in music theory and history in preparation for the Maryland State Music Teachers Association Music Theory Exam (April 2014 - August 2016).
  • I tutored students in AP Music Theory (September 2014 - May 2015) and received a 5 on the AP Music Theory Exam.

Activities

I am involved in the following organizations:

  • Alpha Kappa Psi - Pi Tau Chapter
    • Alumna (2021 - present): I volunteer for workshops and other events within the Professional Development Program.
    • Leadership (2020 - 2021):
      • Marketing: I handled our social media presence and design marketing materials. I also coordinated both inter- and intra-organization communication.
      • Membership: I helped guide the Spring 2021 new member cohort through our Professional Development Program.
    • General Member (2019 - 2021):
  • Rewriting the Code (2018 - present): Rewriting the Code is a national non-profit organization dedicated to empowering a community of college women with a passion for technology. As a Fellow, I contribute to the network of women in tech, participating in professional development opportunities.

I've been playing the piano since the age of five, and I studied music theory quite extensively.

  • Up until college, I studied under Dr. Hui-Yen Chang, with the Maryland State Music Teachers Association (MSMTA).
  • I received the MSMTA Advanced Keyboard Musicianship Honors for receiving outstanding scores on Levels 1-10 of the MSMTA Keyboard Musicianship Program.
  • I also received the MSMTA Senior and Distinguished Theory Awards for passing Level 12 (the highest level) of the MSMTA Theory Test with a score of 90% or better.
  • And although I no longer formally study music, I still continue to play piano regularly.

I also played violin for eight years.

  • I played in my school orchestras from elementary through high school.
  • I was the concert orchestra section leader of the Chesapeake Youth Symphony Orchestra.

And just some other things I like to do in my spare time:

  • Reading: My favorite novel is East of Eden by John Steinbeck.
  • Creative writing: I'm a regular participant of NaNoWriMo, and I am particularly interested in mythology and world-building. I'm also currently challenging myself to write more short stories and expand into new genres.
  • And just generally exploring new places, meeting new people, and learning new things!

Contact

You can reach me at: