Shunyu (Andy) Tang

Scholar・Author・Programmer・Speaker・Trader

Phone: 609-467-8229    Email: tang@psu.edu

Website: https://sites.psu.edu/tang

ABOUT

A Schreyer Scholar double-majoring in computer science and economics who constantly seeks new challenges by exploring cutting-edge technologies to make the world a better place. Technical Writer for Medium, Quant Trader, Author of Day Trade With AI, Editor-in-Chief of AI Advances, Medium’s Boost Nominator, and Winner of the 2023 Congressional App Challenge. Doing what I love, programming computers to do the hard work for me, and sharing my programming and financial knowledge across the globe. I believe knowledge shared is knowledge squared, and the best way to learn something—to truly master and retain it, not just to learn it well enough to pass a test—is to apply it.

EDUCATION

Schreyer Honors College, The Pennsylvania State University, University Park, Pennsylvania 16802

Bachelor of Science | Diplomas expected 2028
Majors: Computer Science, Economics

Cumberland Valley High School, Mechanicsburg, Pennsylvania 17050

August 2020 – June 2024
Honors: Summa Cum Laude (GPA: 99.0510 unweighted, 105.5539 weighted; Rank: 5/688 unweighted, 24/688 weighted)

PROFESSIONAL EXPERIENCES

Editor-in-Chief, AI Advances

May 2023 – Present

AI Advances is a Medium publication that showcases the latest developments in AI and its applications in all facets of modern society. As the Editor-in-Chief of AI Advances, I envision that AI should not belong to the small group of elite scientists and engineers who work in big-tech companies. Instead, it should be like reading and writing, which belong to everyone. I strive to democratize access to AI via this publication and empower more people to build intelligent systems for themselves. I grew AI Advances by inviting writers, reviewing submissions, selecting articles to feature on the website, and promoting featured writings via Medium’s Boost Nomination Pilot program, Twitter (X), LinkedIn, and “The Democratized AI” Newsletter. Each step helps foster collisions of ideas to make AI accessible to avid learners in every discipline. The publication currently has 400+ contributing writers who are experts in artificial intelligence and the published articles are distributed in feeds and digests with 200k+ monthly views. In January 2024, AI Advances was proud to be among 70+ publications selected by Medium to participate in its Boost Nomination program and secured a spot in top 9 technology publications on this list. My nominations (with a monthly quota of 20), if all selected for Boosting, could generate 10k USD in royalties for my writers every month. In June 2024, AI Advances transitioned to a governance model overseen by an advisory board composed of fellow contributing writers. My responsibilities also include inviting advisory board members, hosting quarterly advisory board meetings, and recruiting managing editors.

Technical Writer, Medium

November 2021 – Present

I write articles of original content on the applications of machine learning and deep learning in the realms of quantitative trading, finance, and engineering for Medium. See the column of my writings at https://shunyutang.medium.com. In April 2023, I was formally accepted by the Medium Partner Program and earned for my writing. Medium ranks me as a Top Writer in Finance (No. 18 out of 75k writers) and Algorithmic Trading (No. 1 out of 1.5k writers). My articles have over 10k views per month and high SEO impacts, meaning they can be easily found via search engines like Google. My current 1.6k+ followers are mostly professionals and practitioners in the fields of computer science, data science, and finance. Writing on Medium is also part of my efforts toward authoring the Day Trade With AI Book Series, which earned me one of the Top 100 Bestselling Authors in Machine Theory by Amazon. My latest book Day Trade With AI: Theoretical foundations for discretionary, algorithmic, and diversified trading with AI is sold by Amazon under the categories of “Books > Computers & Technology > Computer Science,” ranks No. 2 in Economics, No. 2 in Business Finance, and No. 3 in Machine Theory as of September 4, 2023, and receives a global rating of 4.5 out of 5. The book is also available at the Simpson Library, circulating among all Cumberland County libraries, and accessible to other library systems through interlibrary loans.

Volunteer Research Assistant, Indiana University of Pennsylvania

June 2022 – August 2023

I worked for Professor Yongtao Cao at the Department of Mathematical and Computer Sciences on a research project of using data science techniques to determine unreported COVID-19 infection cases. As the presenter and first author, I delivered the outcomes of the project in four conference talks and one research paper.

PUBLICATIONS

Books

  1. Day Trade With AI: Theoretical foundations for discretionary, algorithmic, and diversified trading with AI. [Book Website] [Amazon] [Sample]

Book Details:

  1. Price: 51.99 USD
  2. Paperback: 513 pages
  3. Words: 148k
  4. Publication Date: September 1, 2023 (1st edition)
  5. Publisher: Decent Traders
  6. ISBN: 979-8-98-731944-4
  7. ASIN: B0CH28XG8M
  8. Dimensions: 7 x 1.16 x 9 inches
  9. Item Weight: 2.18 pounds
  10. Best Sellers Rank: #20,317 in Books (as of September 4, 2023):
  1. #2 in Economics (Books)
  2. #2 in Business Finance
  3. #3 in Machine Theory (Books)
  1. Amazon Global Ratings: 4.5 out of 5
  2. Available at the Simpson Library, circulating among all Cumberland County libraries, and accessible to other library systems through interlibrary loans.
  1. Day Trade With AI: Hands-on experience of building a complete AI system for day trading. ISBN: 979-8-98-731949-9, In Preparation. Expected Release: July 2025. [Book Website]
  2. Day Trade With AI: Prediction of Irrationality. ISBN: 979-8-98-731946-8, In Preparation. Expected Release: July 2025. (Co-authoring with Evan J. Tang)

Technical Articles for a General Audience

  1. “Engineering Your AI: November Reads from AI Advances,” published in AI Advances.
  2. “Engineering Your AI: October Reads from AI Advances,” published in AI Advances.
  3. “The Democratized AI: September Reads from AI Advances,” published in AI Advances.
  4. “The Future of AI: Democratizing AI Across Disciplines,” published in AI Advances.
  5. “The Democratized AI: August Reads from AI Advances,” published in AI Advances.
  6. “The Democratized AI: July Reads from AI Advances,” published in AI Advances.
  7. “The Democratized AI: June Reads from AI Advances,” published in AI Advances.
  8. “Appreciation of the Beauty of Math Leads to Success in Quantitative Trading,” published in Data Driven Investor.
  9. “The Democratized AI: May Reads from AI Advances,” published in AI Advances.
  10. “The Democratized AI: April Reads from AI Advances,” published in AI Advances.
  11. “The Democratized AI: March Reads from AI Advances,” published in AI Advances.
  12. “The Democratized AI: February Reads from AI Advances,” published in AI Advances.
  13. “The Democratized AI: January Reads from AI Advances,” published in AI Advances.
  14. “Is Google’s Data Commons a Game-Changer?” published in AI Advances.
  15. “The Democratized AI: December Reads from AI Advances,” published in AI Advances.
  16. “The Democratized AI: November Reads from AI Advances,” published in AI Advances.
  17. “A Platform Where You Can Find AI Talks by the Tech Wizards of the Future,” published in AI Advances.
  18. “The Democratized AI: October Reads from AI Advances,” published in AI Advances.
  19. Shunyu Tang and Yongtao Cao. “Application of Wastewater-Based Epidemiology to Estimate Unreported COVID-19 Infections Using Machine Learning,” published in Keystone Water Quality Manager, 4th Quarter 2023, Page 41.
  20. “The 10 Books on Discretionary and Algorithmic Trading That Became My Ladder,” published in Towards Finance.
  21. “Write for AI Advances: Democratize Access to Artificial Intelligence and Empower More People to Build Intelligent Systems for Themselves,” published in AI Advances.
  22. “Understanding and Applying Ticker Symbol Embeddings with Vertex AI,” published in AI Advances.
  23. “Is Day Trading with AI a Solid Science?” published in AI Advances.
  24. “The State of Algorithmic Trading,” published in Data Driven Investor.
  25. “Unveiling the Paradox: When Modern Finance Theory Meets Modern Data Science,” published in Finance Frontiers.
  26. “Toward a God-Level AI From a Dog-Level AI,” published in Towards AI.
  27. “A Tale of Four Andrews – My Journey of Enthusiasm,” published in About Me Stories.
  28. “Essential Statistics to Evaluate the Performance of Financial Advice,” published in Investor’s Handbook.
  29. “What Should AI Learn From the Randomness in Financial Data?” published in Towards AI.
  30. “The Under-Researched Time-Diversified Trading as a Potential Game-Changer,” published in Investor’s Handbook.
  31. “The University Network of the Most Influential Pioneers in Modern Finance,” published in Finance Frontiers.
  32. “Application of the Nobel-Prize-Winning Black-Scholes Option Pricing Formula in a Day Trading Setting,” published in Investor’s Handbook.
  33. “The Magic Power of Voting to Increase the Accuracy of Predictions From 60% to 90%,” published in Trading Data Analysis.
  34. “Combining Web Scraping and Prompt-Engineered Large Language Models as a Stock Headline Monitor and Sentiment Analyzer in Live Trading,” published in Trading Data Analysis.
  35. “Categorically Labeling Trading Data As Up, Flat, or Down for Effective Training of AI Algorithms,” published in Trading Data Analysis.
  36. “Is There a 100-Dollar Bill Lying on the Sidewalk?”, published in Data Driven Investor.
  37. “How a 60% Correct AI Model Guides You to Trade With a 90% Success Rate,” published in Trading Data Analysis. (Medium ranks this article as “Top 30 of the All-Time-Best Articles in Algorithmic Trading”)
  38. “Volume by Price as a Dynamic Feature for Training AI Algorithms for Trading,” published in Trading Data Analysis.
  39. “Harnessing the Power of Efficient Frontier and Max Sharpe Ratio for Risk Management of Day Trading With AI,” published in Data Driven Investor.
  40. “Computation of Camarilla Pivot Points As Static Inputs for Training a Trading Bot With AI Algorithms,” published in Trading Data Analysis.
  41. “Embedding for Feature Engineering of Stock Symbols Using PyTorch,” published in Insider Finance Wire.
  42. “Spatiotemporal Visualization of Hydraulic Fracturing in the United States,” published in The Modern Scientist.
  43. “GeoPandas for Visualization of Shale Plays in US and Aggregation of Data Into Counties, States, and Shale-Play Levels,” published in The Modern Scientist.
  44. “Exploratory Data Analysis and Comparison of Out-of-Box Machine Learning Models for the UCI Wine Quality Dataset,” published in AI Advances.
  45. “Logistic Classification for Engineering Applications Using Gradient Descent and Normal Equation Methods,” published in AI Advances.
  46. “Application of Gradient Descent and Normal Equation Algorithms for Development of Mathematical Models for Engineering Uses,” published in AI Advances.
  47. “Find the Roots of Any Functions Numerically Without the Use of SymPy or SciPy but With a One-Liner in NumPy,” published in Python in Plain English.

Journal Articles

  1. Shunyu Tang and Yongtao Cao (2023). A Phenomenological Neural Network Powered by the National Wastewater Surveillance System for Estimation of Silent COVID-19 Infections. Science of the Total Environment, 902, 166024. https://doi.org/10.1016/j.scitotenv.2023.166024

Journal Stats:

Timeline of Paper Status:

Conference Talks:

HONORS & AWARDS

  1. Featured Speaker. Medium Day 2024
  2. The Walter C. and Helen Groh Milewski Scholarship Achievement Award. Cumberland Valley High School (2024) [$2,500 cash award]
  3. William R. Pierce Academic Achievement Award for German. Cumberland Valley High School (2024)
  4. Inductee to the Hall of Fame for Computer Science and World Language. Cumberland Valley High School (2024)
  5. One of Medium’s 70+ Boost Nominators. Medium (2024)
  6. One of the Top 100 Authors in Machine Theory. Amazon (2023)
  7. Winner of the 2023 Congressional App Challenge (Pennsylvania’s 10th District). Congressional App Challenge - the U.S. House of Representatives’ official coding competition.
  8. Featured Speaker. Medium Day 2023
  9. Top Writer in Finance and Algorithmic Trading. Medium (2023)
  10. Student Research Award, in state. PennTec 2023 - The 94th PWEA Annual Conference [$250 cash award]
  11. 3rd Place in state, Young Professional’s Fresh Ideas Poster Contest. The 75th PA-AWWA Annual Conference (2023) [$200 cash award]
  12. The State Conference of Pennsylvania TSA (2023)
  1. The Regional Conference (Region 3) of Pennsylvania TSA
  1. AP Scholar with Distinction. College Board (2023)
  2. Student of the Month. Cumberland Valley High School (January 2023)
  3. 7x Top 5 Placements in Minnesota Regional & Statewide Chess Tournaments. School Chess Association (2013 – 2016)

CONFERENCE TALKS

  1. “The Future of AI: Democratizing AI Across Disciplines.” Host of a panel discussion featured on Medium Day 2024, August 17, 2024. [YouTube]
  2. “Join Us in Making the Democratized AI a Reality.” Host of the virtual booth for AI Advances, Medium Pub Crawl 2024, March 19, 2024. [YouTube]
  3. “Unveiling the Paradox: When Modern Finance Theory Meets Modern Data Science.” Host of a 1:1 Interview with Sofien Kaabar, CFA and Institutional FX Technical Analyst, Medium Day 2023, August 12, 2023. [YouTube]
  4. “Identifying the Hidden Patterns in the National Wastewater Surveillance Data for COVID-19.” Spatial Statistics 2023: Climate and The Environment, University of Colorado Boulder, Boulder, CO. July 18–21, 2023. (Podium Presentation) [YouTube]
  5. “Application of Wastewater-Based Epidemiology to Estimate Unreported COVID-19 Infections Using Machine Learning.” PennTec 2023 - The 94th PWEA Annual Conference, Hershey, PA. June 18–21, 2023. (Podium & Poster Presentations)
  6. “Translating the SARS-CoV-2 Concentrations in Water to COVID-19 Infection Cases Using a Phenomenological Neural Network Powered by the National Wastewater Surveillance System.” Fresh Ideas Poster Presentation, The 75th PA-AWWA Annual Conference, Kalahari, Poconos, PA, May 9–11, 2023. (Poster Presentation)
  7. “Estimating Unreported COVID-19 Infection Cases Using Wastewater-Based Epidemiology Data With Machine Learning.” 2023 Data Analytics Summit, Harrisburg University of Science & Technology, Harrisburg, PA. May 3, 2023. (Podium Presentation)

SIDE PROJECTS

  1. DayTradeWithAI.com

Nov 2022 – Present

This is a website that I created and kept maintaining for my book series Day Trade With AI, allowing me to easily promote the books and engage with my readers. Readers can either buy autographed copies directly from me on the website or get referred to Amazon to complete their purchases. The website also hosts the resources, upcoming news and events, waiting list, and errata related to the books. There are over 200 people on the waiting list for my next book in the series.

  1. Botbadi

Sep 2020 – Present

I created a versatile and feature-rich Discord app, which provides users with a wide range of functionalities, including music playback, math calculation, image modification, guessing games, chatbot functionality, typing races, auto moderation, and more. The app leverages advanced programming tools and techniques to provide users with a seamless and engaging experience, while also effectively moderating and managing user interactions. It’s currently used in over 4,000 Discord servers and manages over 500,000 users.

  1. Bossbadi API

Dec 2020 – Present

I designed and developed a sophisticated API service that offers users a comprehensive range of features and functionalities. The service includes multiple endpoints that facilitate a variety of tasks, ranging from image modification and text-to-speech conversion to text translation and file hosting. Despite offering a wide range of advanced functionalities, the service was designed with simplicity and ease-of-use in mind, ensuring that even users with limited technical expertise could easily navigate and utilize its features. This API is used in the backend of many of my other services, including Botbadi, DayTradeWithAI.com, and AI Advances.

  1. Perceptron

Sep 2023 – May 2024

Perceptron is a web app that I created to simplify the studying process. Students simply upload a picture of their notes and it will generate multiple-choice quiz questions based on these notes. This app is potentially transformative to students’ study habits: (1) Perceptron encourages students to learn. By adding confetti animations and instant right or wrong feedback, students are always engaged. (2) Perception embodies the beneficial use of AI. Nowadays, AI is often criticized for being used to cheat. Perceptron tries to undermine that criticism by helping students to study. (3) Perceptron reinforces key technical concepts. Students can take a quiz over and over again until they have nailed every concept. Perceptron won the 2023 Congressional App Challenge - the U.S. House of Representatives’ official coding competition.

  1. A Data Science Approach to Estimate Unreported COVID-19 Cases

Jul 2022 – Aug 2023

Facing a contemporary societal issue of COVID-19 infections, I collected and compiled data from various sources about the issue, and then produced documentation and a digital scientific poster about my findings. The project won first place in the TSA regional competition on Data Science & Analytics, which made me step into the state-level TSA finals and eventually won second place in state. Continuous work on this project resulted in one journal paper and four conference presentations. The research was conducted under the supervision of Prof. Yongtao Cao in the Department of Mathematical and Computer Sciences at Indiana University of Pennsylvania.

  1. Exploring Robotics via Carnegie Mellon University’s Course 16-311

Spring 2023

As part of a consortium in promoting education in robotics and AI/machine learning, I was recommended to connect via Zoom to the classroom of CMU’s 16-311 course taught by Prof. Howie Choset, accessing all the course materials and getting support from the CMU teaching assistants in class. I did not officially get academic credit for this course due to the nature of this consortium. However, I learned how to construct robots with a theoretical preparation of computer vision, motion planning, mobile mechanisms, kinematics, inverse kinematics, and sensors.

  1. Interstellr

Oct 2022 – May 2023

I made a website for a fictional space exploration company. The website provides comprehensive information on various aspects of the company’s operations, including but not limited to promotion, safety, launch, experience, training, vehicles, cost, and planning. Through extensive research, I ensured that the website contained accurate and up-to-date information, while also presenting it in a clear and user-friendly manner. The website was designed to provide an engaging and informative experience for visitors, while also effectively communicating the company’s mission and goals. This project placed first in the Webmaster event at TSA Regionals and States.

  1. Classy

Oct 2022 – May 2023

I played a key role in the creation of a Student Information Hub designed to provide high school students, parents, teachers, and counselors with access to relevant information related to the student’s high school career. This platform was developed with a focus on user experience and functionality, providing a streamlined and intuitive interface for all users. The Student Information Hub effectively aggregated and presented various types of data, including academic performance, extracurricular activities, and attendance records, among others. This project placed third in the Software Development event at TSA Regionals.

  1. Shuffl

Oct 2022 – May 2023

I contributed to the creation of a 3D two-player shuffleboard game, designed to provide players with an engaging and entertaining gaming experience. The game was developed with a focus on user experience and immersive gameplay, leveraging advanced 3D graphics and realistic physics simulations to create a compelling and visually stunning experience. This project placed third in the Video Game Design event at TSA Regionals.

  1. CalcHub

Dec 2021 – Feb 2022

I designed a versatile desktop application that serves as a valuable tool to aid students in their academic and personal development. The application comprises three main features, including a GPA calculator, which allows users to easily calculate their grade point average based on their class grades and credit hours. Additionally, the number base converter enables computer science and math students to convert numbers between different bases, such as binary, decimal, and hexadecimal. Finally, the application features a set of random trivia flashcards, which provide students with a fun and engaging way to expand their knowledge and learn outside of their academic studies. This project placed first in the Software Development event at TSA Regionals.

  1. GoPubby

May 2020 – Sep 2020

I created a dynamic and engaging blogging platform. This platform was designed to provide users with a comprehensive range of features and functionalities, including the ability to post articles, engage in chat discussions with other users, solve puzzles, and participate in a custom economy system. This platform effectively leverages advanced programming tools and techniques to create a user-friendly and engaging experience that encourages community interaction and engagement. Currently, it also hosts in its subdomains a Medium publication AI Advances, as well as apps Bossbadi API and Perceptron.

SKILLS

Tech

Languages

Last updated: Nov 11, 2024