Experience


Work and Career


Rise First Logo

Rise First

Chief Technology Officer

August 2019 - Present

Rise First 501(c)3 | Chief Technology Officer

August 2019 - Present

  • Lead team of 6 members consisting of designers, content developers, product managers, and engineers to migrate the non-profit’s website
  • Build the website using Node.js, Express.js, React.js, and MongoDB to display 1200+ resources to first-generation, low-income students
  • Reworked website strategy to improve SEO and achieved MOM growth of organic search clicks by 30%, sessions by 18%, and users by 17%
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Facebook

Software Engineer Intern

May 2019 - August 2019

Facebook, Menlo Park, CA | Software Engineer Intern

May 2019 - August 2019

  • Built collaborative filtering TV shows recommender system pipeline with 11 TB of engagement data using Python, Hive/Hadoop and Presto
  • Shipped full-stack mobile referral flow for 3 verticals and over 1000 creators with 180k+ supporters using PHP/Hack, JS, and GraphQL
  • Delivered catalog features on iOS and Android in Video Subscriptions product launch for 41 million followers to increase user engagement
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Capital One

Business Analyst - Product Management and Analytics Intern

June 2018 - August 2018

Capital One, McLean, VA | Business Analyst - Product Management and Analytics Intern

June 2018 - August 2018

  • Trained SVMs and neural networks to predict customer debt recovery with Scikit-Learn and Keras/TensorFlow (boosted recall by 8.6%)
  • Consulted 8+ VPs and managers on strategy after benchmarking competitive intel in debt collections of 25+ banks and fintech startups
  • Queried, cleaned, and preprocessed customer datasets with over 11 BN indexes using SQL, Apache PySpark and Pandas DataFrames

Programming Projects


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DearAI

A web-app that users can journal in, which uses machine learning sentiment analysis to create recommendations based on user input to improve mental well-being. Our team won top 5 hack at PennApps XIX hackathon.

Learn More View Code Slide Deck
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SoleProvider

A SMS chatbot created with Google Dialogflow API and Twilio API that disadvantagd populations in a community can use to request needs, which won the grand prize at the inaugural Sustainable Solutions tournament in Philadelphia.

Learn More View Code Slide Deck
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AR Ukulele Chords

A mobile Augmented Reality app developed using Unity, C#, and Vuforia that helps beginner ukulele players by overlaying chords, notes, and finger positions over a ukulele. This personally helped me learn ukulele!

View Code

Education


University of Pennsylvania

The Jerome Fisher Program in Managment and Technology

Summa Cum Laude, Class of 2020

Institution and Program

University of Pennsylvania

Jerome Fisher (Dual-Degree) Program in Management and Technology, Class of 2020

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Degrees

Bachelor of Science in Engineering, Major in Computer Science, Minor in Cognitive Science

School of Engineering and Applied Science, Summa Cum Laude

Penn Engineering Logo

Bachelor of Science in Economics, Concentrations in Statistics and Operations, Information and Decisions

The Wharton School, Summa Cum Laude

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Honors and Awards
  • Dean's List
  • Institute of Electrical and Electronics Engineers Eta Kappa Nu (IEEE-HKN) Engineering Honor Society
  • Tau Beta Pi Engineering Honor Society
  • PennApps XIX Hackathon Top 5 Hack and Best Entertainment Hack Winner
  • Sustainable Solutions Challenge Hackathon Grand Prize Winner
Research and Teaching
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World Well Being Project, Penn Positive Psychology Center

Natural Language Processing Research Assistant

November 2019 - Aug 2020

World Well Being Project, Penn Positive Psychology Center, Philadelphia, PA | NLP Research Assistant

November 2019 - Aug 2020

  • Analyze the differences in cultural differences of loneliness and stress between rural and urban China using social media text analysis
  • Use natural language processing techniques such as LDA and differential language analysis under the World Well Being Project
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Wharton Social Impact Initiative

Urban Analytics Research Fellow

September 2019 - May 2020

Wharton Social Impact Initiative, Philadelphia, PA | Urban Analytics Research Fellow

September 2019 - May 2020

  • Mentored by statistics professor to use shapefiles of business vibrancy chracteristics to investigate effects of greening vacant lots on crime
  • Analyze effects of vacant lot greening on crime by parsing 2.7 million data entries on Philadelphia crime and lot features with Python and R
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Penn Computer Science Department

Machine Learning Teaching Assistant

August 2019 - December 2019

Penn Computer Science Department, Philadelphia, PA | Machine Learning (CIS 520) Teaching Assistant

August 2019 - December 2019

  • Architect homeworks and examination questions with LateX, Jupyter and Google Colab for 170 undergraduate and graduate students
  • Host weekly office hours to lecture on topics such as regression, supervised, unsupervised, active, online, reinforcement, and deep learning
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Wharton Learning Lab

Augmented Reality in Education Technology Research Assistant

July 2017 - January 2019

The Alfred West Jr. Learning Lab, The Wharton School, Philadelphia, PA | Augmented Reality in Education Technology Research Assistant

July 2017 - January 2019

  • Created a PyTorch LSTM-RNN to perform NLP (sentiment analysis) of 50k tweets on the AR/VR market harvested from Docker containers
  • Collaborated with Wharton Management faculty to design an AR app with Unity and C# to enhance classroom human-computer interaction
  • Created a literature-research bank of over 40 multi-disciplinary articles in areas of behavioral psychology, creativity, and memory
Blog Post on my Research
Organizations and Activities
FLITE Logo

First Generation, Low-Income Students in Technology and Engineering (FLITE)

Founder and Co-President

April 2019 - May 2020

First Generation, Low-Income Students in Technology and Engineering (FLITE), Philadelphia, PA | Founder and Co-President

April 2019 - May 2020

  • Started a community for first-generation, low-income students at Penn interested in technology and engineering
  • Formed 10-person board and grew organization to over 100 constitutents within a year
  • Hosted monthly technology workshops in areas such as machine learning, data science, and web-developement
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Science Olympiad at the University of Pennsylvania (SOUP)

Director of Volunteering / Volunteer Coordinator

September 2018 - February 2019

Science Olympiad at the University of Pennsylvania, Philadelphia, PA

Director of Volunteering / Volunteer Coordinator

September 2018 - February 2019

  • Organized 100+ volunteers to run a STEM tournament with 850+ competitiors nationwideOrganized 100+ volunteers to run a STEM tournament with 850+ competitiors nationwide

Finance Coordinator

September 2016 - May 2018

  • Managed over $13,000 of cash flow to fund the tournament, and increased YOY sponsorships and income by 24% by improving outreach to local science startups
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IEEE-Eta Kappa Nu

Chapter Secretary and Webmaster

April 2018 - April 2019

Institute of Electrical and Electronics Engineers - Eta Kappa Nu Honor Society (Lambda Chapter) | Chapter Secretary and Webmaster

September 2018 - February 2019

  • In charge with updating the website for the university’s chapter and outreach initiatives such as designing and campaigning a newsletter to 100+ members representing top academics
  • Organize weekly 7-person board meetings to program tech talks with leading technology companies and create partnerships between engineering freshman to senior project teams
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Pan-Asian American Community House Peer Mentoring Program

Vice-Chair of Leadership

April 2017 - April 2018

Pan-Asian American Community House Peer Mentoring Program | Vice-Chair of Leadership

April 2017 - April 2018

  • Programmed multi-day retreats and monthly leadership seminars for an Asian-Pacific Islander (API) mentorship organization with 40 students, facilitating discussions surrounding API topics and assisting social and volunteering events
  • Co-designed and co-built the orgnanization's website with the chair
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Student Federal Credit Union at the University of Pennsylvania, Philadelphia, PA

Vice President of Information Systems and Director of Data Science

September 2016 - April 2019

Student Federal Credit Union at the University of Pennsylvania, Philadelphia, PA

Director of Data Science

January 2019 - April 2019

  • Consulted with a $2 BN AUM, 150k member institution to detect card fraud via random forests and XGBoost trees (with F1-score of 89%)
  • Collaborated with marketing to segment 1400 customers with k-means clustering algorithm (with Scikit-Learn) into 8 distinct groups
  • Architected MySQL database with 8+ years of data and built Tableau visualizations to gain business intelligence insights of customers

Vice President of Information Systems / Chief Information Officer

January 2018 - January 2019

  • Tripled technology workforce and improved workplace diversity and inclusion by increasing minority representation by 18%
  • Redesigned website UI/UX for the first time in a decade and migrated to a new AWS EC2 instance which reduced traffic latency by 60%
  • Automated common customer inquiries with a Google Dialogflow chatbot and quadrupled projects completed via Agile principles
  • Executed strategies as an executive on the 13-person board of directors which increased YOY net income by 35% and decreased software expenses by 15%

Director of General Ledger

January 2018 - January 2019

  • Head divisions of 16 ledger analysts and 12 technology analysts to run cybersecurity and accounting for an institution with $7.1 MM AUM
  • Oversaw and ensured perfect reconciliations of 8 ledger account, over $10,000 of daily transactions, and $5M+ investment portfolio

Finance Manager

April 2017 - August 2017

  • Ran accounting and investment divisions of the organization over the summer, normally tasks done by a head count of over 20 employees
  • Filed quarterly NCUA reports on finance/accounting ledger histories and headed investments strategy and decisions for $5M+ investment portfolio
Coursework
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University of Pennsylvania

Coursework / Courses Taken

September 2016 - May 2020

Courses Taken at the University of Pennsylvania

September 2016 - May 2020

Fall 2016

  • CIS 120 - Programming Language and Technology I
  • CIS 160 - Mathematical Foundations of Computer Science
  • ECON 010 - Introduction to Economics for Business
  • MGMT 100 - Leadership & Communication in Groups
  • WRIT 026 - Writing Seminar in Classical Studies: Who Killed Homer?

Spring 2017

  • BEPP 250 - Managerial Economics
  • CIS 121 - Programming Language and Technology II
  • FNAR 123 - Drawing I
  • LGST 210 - Corporate Responsibility and Ethics
  • MGMT 101 - Introduction to Management

Summer 2017

  • CHEM 101 - General Chemistry I
  • CIMS 102 - World Film History '45 - Present

Fall 2017

  • ACCT 101 - Principles of Accounting
  • ARTH 391 - Transnational Cinema
  • CIS 240 - Introduction to Computer Systems
  • FNAR 235 - 3-D Computer Modeling and Sculpture
  • FNCE 100 - Corporate Finance
  • MKTG 101 - Introduction to Marketing
  • MKTG 234 - Idea Generation & the Systematic Approach for Creativity

Spring 2018

  • CIS 320 - Introduction to Algorithms
  • CIS 450 - Database & Information Systems
  • MGMT 237 - Management of Technology
  • MKTG 227 - Digital Market and Electronic Commerce
  • OIDD 291 - Negotiations
  • PSYC 001 - Intro to Experimental Psychology
  • STAT 430 - Probability

Fall 2018

  • CIS 140 - Introduction to Cognitive Science
  • CIS 460 - Interactive Computer Graphics
  • CIS 581 - Computer Vision and Computational Photography
  • OIDD 290 - Decision Processes
  • PHIL 231 - Epistemology: Knowledge and Reality
  • STAT 431 - Statistical Inference

Spring 2019

  • CIS 262 - Automata, Computation and Complexity
  • CIS 520 - Machine Learning
  • COGS 301 - Independent Study
  • EAS 203 - Engineering Ethics
  • OIDD 263 - Environment and Energy Economics
  • OIDD 415 - Product Design

Fall 2019

  • ACCT 102 - Strategic Cost Analysis
  • CIS 380 - Computer Operating Systems
  • CIS 400 - Senior Project
  • STAT 432 - Mathematical Statistics

Spring 2020

  • CIS 099 - Undergraduate Research / Independent Study
  • CIS 371 - Computer Organization and Design
  • CIS 401 - Senior Design
  • FNCE 101 - Monetary Economics and Global Economy
  • STAT 405 - Statistical Computing with R
  • STAT 422 - Predictive Analytics
  • STAT 475 - Sample Survey Design
  • STAT 921 - Observational Studies

Peer Reviewed Research


Lab on a Chip Logo

Lab on a Chip - Royal Society of Chemistry

A Web-based Automated Machine Learning Platform to Analyze Liquid Biopsy Data

2020

Title: A Web-based Automated Machine Learning Platform to Analyze Liquid Biopsy Data

Authors: Shen, Hanfei, Tony Liu, Jesse Cui, Piyush Borole, Ari Benjamin, Konrad Kording, and David Issadore

Journal: Lab on a Chip - Royal Society of Chemistry

Publish Date: May 2020

Link: https://doi.org/10.1039/D0LC00096E


Abstract: Liquid biopsy (LB) technologies continue to improve in sensitivity, specificity, and multiplexing and can measure an ever growing library of disease biomarkers. However, clinical interpretation of the increasingly large sets of data these technologies generate remains a challenge. Machine learning is a popular approach to discover and detect signatures of disease. However, limited machine learning expertise in the LB field has kept the discipline from fully leveraging these tools and risks improper analyses and irreproducible results. In this paper, we develop a web-based automated machine learning tool tailored specifically for LB, where machine learning models can be built without the user's input. We also incorporate a differential privacy algorithm, designed to limit the effects of overfitting that can arise from users iteratively developing a panel with feedback from our platform. We validate our approach by performing a meta-analysis on 11 published LB datasets, and found that we had similar or better performance compared to those reported in the literature. Moreover, we show that our platform's performance improved when incorporating information from prior LB datasets, suggesting that this approach can continue to improve with increased access to LB data. Finally, we show that by using our platform the results achieved in the literature can be matched using 40% of the number of subjects in the training set, potentially reducing study cost and time. This self-improving and overfitting-resistant automatic machine learning platform provides a new standard that can be used to validate machine learning works in the LB field.

Skills


Programming & Coding

Languages

Java, Python, C, C++, C#, SQL, R, HTML, CSS, JavaScript, MongoDB, PHP, MATLAB, OCaml, Bash, Assembly, LaTeX

Programming & Coding

Frameworks and Libraries

Scikit-learn, PyTorch, Keras, TensorFlow, OpenCV, Node.js, Express.js, React, Redux, jQuery, Mongoose, Flask, Bootstrap, Docker, Git

Programming & Coding

Technologies and Applications

Tableau, Unity, Figma, Jira, Microsoft Office, Adobe Photoshop, Illustrator, InDesign, Premiere Pro, AutoCAD, Autodesk Maya

Speaking & Writing

Languages

English, Spanish, Mandarin Chinese, Cantonese Chinese