Joseph Zhang

Developer

Get in touch

About Me

Hi there! I'm currently at Stanford finishing up concurrent Master's and Bachelor's degrees in Computer Science (Artificial Intelligence Track) and Cognitive Science. I'm particularly interested in developing novel technologies leveraging A.I. and in coding projects that have the potential for high social impact. I'm passionate about projects regarding the intersection of algorithms, sustainability, and resource allocation/equity. In my free time, I enjoy playing squash, creating pop remixes, and shamelessly looking up the answers to the New York Times crossword puzzles.

Education

Stanford University

M.S., Computer Science, Artificial Intelligence Track

Spring / Fall 2024

Stanford University

B.S., Symbolic Systems, Cognitive Science Track

June 2024

Gwinnett School of Math, Science, and Technology

High School

May 2019

Contact Information

Phone: +1 404-518-0408

Email: josephz@stanford.edu

LinkedIn: linkedin.com/in/joseph-zhang-116152187/

Technical Experience

The Farmlink Project

June 2023 - Present

Software Engineering Intern


  • Maintaining SQL databases using FusionWare technologies
  • Constructing data pipelines to optimize for delivery and food recovery routes

The Farmlink Project is a non-profit organization that aims to reduce food waste and combat hunger by rescuing surplus produce from farms and distributing it to food banks across the United States. Their efforts help bridge the gap between farms with excess produce and communities in need, addressing both food waste and food insecurity issues.

McKinsey & Company, Digital Practice

June 2022 - September 2022

Business Analyst


  • Directed pricing model for F500 Healthcare company, ~80 million valuation
  • Completing due diligence to compile analytics for consulting decisions
  • Reporting metrics and recommend key insights to C-suite executives for Managed Captive Services

McKinsey & Company is a global management consulting firm known for its strategic advisory services across various industries. With a focus on rigorous analysis, data-driven insights, and innovative problem-solving, McKinsey collaborates with leading organizations to tackle their most critical challenges and drive sustainable impact.

AbilityHacks

Jan 2021 - June 2021

CS for Social Good Studio Instructor


  • Project manager on a student team working to expand navigation accessibility to disabled sailors
  • Coordinating with nonprofit to develop an app (React/NodeJS) to help blind people navigate public areas

AbilityHacks is a program aimed at leveraging technology for social good. I served as a project manager for Stanford's CS50 student team focused on enhancing navigation accessibility for disabled sailors. Together with the nonprofit, we developed an app to assist blind individuals in navigating public areas, empowering them to move independently and confidently in their daily lives

UNICEF

July 2020 - Aug 2020

Software Engineering Intern


  • Utilized Google Flutter/Firebase to create a messaging platform for connecting global policymakers to U-Reporters
  • Connected coronavirus emergency relief resources on a platform used by 8 million users spanning 60 countries

In the wake of the COVID-19 pandemic, I worked with UNICEF managers and developers to enhance U-Report, a powerful social messaging tool and data collection system. Our collective goal was to meet the increasing demand for healthcare reporting and resource allocation. By leveraging SMS polls and alerts, U-Report empowers citizens, enabling real-time data collection and publication. The platform helps to track disease spread data, informs leaders with valuable insights, and connects citizens to the help they need.

Hong Lab, Stanford

May 2020 - Nov 2020

Materials Science Engineering REU Research Fellow


  • Created a computational model to accurately predict neuronal stimulation using photovoltaic systems
  • Modeled optical scattering and photon adsorption of materials, optimized electronic property data in MATLAB, created circuit patterning to model neural tissue and photovoltage interaction

I interned at the Hong Lab at Stanford, creating a computational model that predicts neuronal stimulation in mice. By modeling optical scattering and photon adsorption in materials and optimizing electronic properties with MATLAB, I gained insights into the complex dynamics of neural tissue and its interaction with photovoltage under advisor Ajay Subramanian. This research contributed to advancements in bioelectronics and neurotechnology, pushing the boundaries of our understanding and opening new avenues for innovation in the field.

Leadership

President | Alpha Kappa Psi Business Fraternity | Pi Tau Chapter, Alpha Pi Class

  • Organized Spring recruitment with professional workshops, meetings, and events
  • Communicated between chapter’s executive committee, active members, alumni, and nationals

ASES Stanford Entrepreneurship Society Summit Organizer

  • Met with team to plan entrepreneurial workshops and VC panels for an international conference aimed at connecting investors, professors, and start-up entrepreneurs
Other Student Orgs: Dragonboat Rowing, Men's Squash, Stanford Structured Liberal Education (SLE) Alumnus

Projects

Heart Disease Diagnosis: Analysis of ML Methods for Accurate Prognosis

CS 229 | Machine Learning | Spring 2023

  • Analysis of various methods including K-means, LogReg, SVM, Random Forest and GradBoosting, GDA for heart disease prognosis
  • Implementation of a Generative Adversarial Network to supplement existing data
GitHub Paper Poster

Music Genre Classification Using Convolutional Neural Networks

CS 230 | Deep Learning | Fall 2022

  • Created a Deep Learning architecture with TensorFlow to explore hyperparameters across neural nets
  • Classified with an Adam optimizer on MFCC features for a validation accuracy of 0.83, a ~20% increase over literature
GitHub Paper

Fine-tuning BERT for Sentiment Analysis, Paraphrase Detection, and Semantic Textual Similarity

CS 224N | Natural Language Processing | Winter 2023

  • Implemented key aspects of the original BERT (Bidirectional Encoder Representations from Transformers) model, including multi-head self-attention and a Transformer layer.
  • Utilized the completed BERT model to perform sentiment analysis on the Stanford Sentiment Treebank dataset and another dataset of movie reviews.
GitHub Paper

Reinforcement Learning Poker Bot

Psych 240A | Curiosity in Artificial Intelligence | Spring 2022

  • Coded a poker bot to curiously explore the environment as it exploits innate greedy or cautious betting behavior
  • Modeled Markov decision processes with Monte-Carlo simulation, SARSA, and Q-learning approximations
GitHub

Skills and Coursework

Machine Learning Skills:

  • TensorFlow
  • Pytorch
  • Python
  • Matlab

App and Web Development Skills:

  • C++/C
  • MATLAB
  • Flutter/Dart
  • Swift/SwiftUI
  • React Native
  • SQL/noSQL/Bigquery
  • Firebase

Languages:

  • English
  • Mandarin
  • Korean

Awards:

  • Gates Foundation Scholarship Recipient (300 finalists/50,000 applicants)
  • QuestBridge Full Ride Scholarship
  • Intel International Science and Engineering Fair Finalist (~2,000 finalists competing at the final level out of millions of students over 75 countries)
  • American Statistical Association (ASA) Award
  • Society for In-Vitro Biology Award

ML Coursework:

  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Artificial Intelligence Principles
  • Modern Algorithms

Other:

  • Applied Matrix Theory
  • Regression Models and Analysis of Variance
  • Vector Calculus
  • Data Management and Data Systems
  • Web Programming Fundamentals
  • iOS Development
  • Human Centered Product Management

Coursework Continued:

  • Design and Analysis of Algorithm
  • Mathematical Foundations of Computing
  • Computer Systems Principles