Jesse Zhang

Co-Founder

San Francisco, California, United States13 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Cofounder of AI-powered tools for creators
PhD in Electrical Engineering from Stanford
Forbes 30 Under 30 recognition

Stackforce AI infers this person is a leader in AI-driven product development for the creator economy.

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Skills

Core Skills

Product StrategyAi DevelopmentResearchData ScienceMachine LearningGenomicsBioinformaticsSignal ProcessingImage ProcessingNeuroscienceData Analysis

Other Skills

AIProduct DevelopmentEmail MarketingAffiliate MarketingDeep LearningSingle-cell GenomicsTeachingPythonRCancer GenomicsMATLABExcelMicrosoft OfficeC++Optimization

About

I’m the cofounder and CPO at Beacons, where we’re building AI-powered tools to help over 8 million creators earn through brand deals, affiliate links, digital products, and more. With tools like link-in-bio, media kits, affiliate links, and email marketing powered by AI, Beacons acts as a smart teammate—connecting data across the creator business to boost creator success. We also support top agencies and management companies with tools to manage rosters, pitch campaigns, and streamline reporting. We started Beacons in 2019 as four friends with a hunch that creators would shape the next layer of the internet. Before Beacons, I earned my PhD in Electrical Engineering at Stanford, where I worked on deep learning and single-cell genomics in David Tse’s lab and helped design a data science course. We’re backed by a16z, The Chainsmokers, Naval Ravikant, and other amazing partners. Our hybrid team is ~40 people with offices in SF and NYC. 🚀 Check out our open roles at: http://careers.beacons.ai/ DM me if you’re: – A creator or manager or brand looking to level up your workflow – Working in AI or the creator economy (or both!) – Building something fun and want to jam

Experience

Beacons

Cofounder, Chief Product Officer

Jan 2019 – Present · 7 yrs 2 mos · San Francisco Bay Area

Building tools to help content creators run smarter businesses.
Backed by a16z, YC, The Chainsmokers, Li Jin, Naval Ravikant, and many more.

AIProduct DevelopmentData AnalysisEmail MarketingAffiliate MarketingProduct Strategy+1

Grail, inc.

Computational Biology Intern/Contractor

Aug 2017 – Aug 2018 · 1 yr · Menlo Park

Built classifiers and other machine learning tools using Python and R for analysis
of cancer genomics data

PythonRMachine LearningCancer GenomicsGenomics

Cellular research

Bioinformatics Engineer/Scientist

Jun 2016 – Sep 2016 · 3 mos · Menlo Park, CA

Designed and implemented machine learning algorithms for automated analysis of high-dimensional single cell molecular counts data generated using the Resolve™ system. Built a full workflow for clustering, feature selection, and other forms of exploratory analysis.

Machine LearningData AnalysisBioinformatics

Stanford university

PHD Student

Sep 2014 – Jun 2019 · 4 yrs 9 mos · Stanford, CA

Built computational tools for rethinking analysis of single-cell RNA-Seq datasets. Developed methods for designing more robust deep learning models. During the winter 2016 and spring 2018 quarters, helped design and teach a new Stanford course on data science for high-throughput sequencing.

Deep LearningSingle-cell GenomicsData ScienceTeachingResearch

Mc10 inc.

R & D Intern

May 2014 – Aug 2014 · 3 mos · Cambridge, MA

Implemented machine learning and signal processing MATLAB algorithms to facilitate real-time and
offline accelerometer data analysis. Collaboratively optimized hardware-software interface. Built and presented an algorithm that was selected to become the core feature of the company's first application on the market.

MATLABSignal ProcessingMachine Learning

Mit lincoln laboratory

Electrical Engineering Intern

Jun 2013 – May 2014 · 11 mos · Lexington, MA

Developed MATLAB algorithms to automatically extract trace from HF ionogram image. Over the summer, removed radio-frequency interference from ionogram sounder data using matching pursuit and MATLAB and created graphical user interface in MATLAB to facilitate ionogram image processing.

MATLABImage Processing

Tufts biomedical engineering department

Undergraduate Researcher

Sep 2011 – Aug 2012 · 11 mos · Medford, MA

Designed and constructed gold circuits on silk scaffolds to control and detect neuronal electrical signals. Processed and analyzed neuronal signals using pCLAMP software.

NeuroscienceSignal Processing

Dana-farber cancer institute

Intern

May 2011 – Aug 2011 · 3 mos · Boston

Conducted experiments to define role of lysine-specific demethylase 1 in human prostate cancer. Performed computation analysis on results using Python and Excel.

PythonExcelData Analysis