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# Jenna Hong

**Headline:** AI Product @ Microsoft | MIT Media Lab, Brain and Cognitive Sciences
**Profession:** Product Manager
**Location:** Cambridge, Massachusetts, United States

## About

Jenna Hong is a Product Manager at Microsoft, working on Loop AI with the Docs team in Modern Collaboration and OPG. She also conducts research at the MIT Media Lab’s Personal Robots Group and is a research student at MIT Computer Science and Artificial Intelligence Laboratory’s Genesis Group with Professor Patrick Henry Winston. Jenna’s work spans AI research and product development, with interests in AI ethics, fairness in machine-learning systems, technology policy, AI education, computational cognitive science, developmental psychology, memory, and storytelling. Her background combines product management, software engineering, machine learning, neuroscience, and biochemistry. At Microsoft, Jenna has held roles in AI development and acceleration and completed a Program Manager internship. Her work includes collaborative AI foundations for Copilot and real-time Copilot Canvas assistance. She earned both a Master of Engineering in Artificial Intelligence and a Bachelor of Science in Brain and Cognitive Sciences and Computer Science and Engineering from MIT.

## Services

- Leadership
- Research
- Public Speaking
- Programming
- Data Analysis
- Artificial Intelligence \(AI\)
- Neuroscience
- Biochemistry
- Product Management
- Machine Learning
- HTML
- Python
- Microsoft Office
- Python \(Programming Language\)
- PowerPoint
- Microsoft Excel
- Developmental Psychology
- Cognitive Science

## Highlights

- Product Manager at Microsoft working on Loop AI with the Docs team in Modern Collaboration and OPG.
- Conducts research in the Personal Robots Group at the MIT Media Lab.
- Research student in MIT CSAIL’s Genesis Group with Professor Patrick Henry Winston.
- Worked on collaborative AI foundations for Copilot.
- Shipped real-time Copilot Canvas assistance.
- Completed Microsoft’s AI Development and Acceleration rotational PM program.
- Served as a Program Manager Intern at Microsoft.
- Worked as an Engineering Analyst at Goldman Sachs in FICC and FAST.
- Completed a Machine Learning Internship at Pison Technology.
- Conducted undergraduate research at MIT’s Picower Institute for Learning & Memory on tissue engineering and brain mapping.
- Conducted undergraduate research in the Fluid Interfaces Group at the MIT Media Lab.
- Completed a Software Engineering Internship at Veeva Systems.
- Synthesized enzyme-inhibiting sugars for possible medicinal application at Stonehill College’s Laboratory of Biochemistry.
- Purified biochemistry research compounds using column chromatography and classified them with H-NMR.
- Conducted brain research at the McGovern Institute involving optogenetics, visual processing, object recognition, and neuronal expression.
- Worked on software development and concept creation at BrainSpec for MRI imaging for MGH.
- Completed research at KAIST’s KI for BioCentury and IT Convergence in bio and brain engineering.
- Earned a Master of Engineering in Artificial Intelligence from MIT.
- Earned a Bachelor of Science from MIT in Brain and Cognitive Sciences and Computer Science and Engineering.
- Graduated summa cum laude from Groton School.

## Experience

- **Product Manager at Microsoft** (2022-06-01–present) — Working on Loop AI with the Docs team ✨ Modern Collab, OPG
- **Researcher at MIT Media Lab** (2019-09-01–present) — Personal Robots Group
- **Research Student at MIT Computer Science and Artificial Intelligence Laboratory \(CSAIL\)** (2018-03-01–present) — Genesis Group, Professor Patrick Henry Winston
- **Rotational PM, Microsoft AI Development and Acceleration at Microsoft** (2020-08-01–2022-05-01)
- **Program Manager Intern at Microsoft** (2019-06-01–2019-09-01)
- **Engineering Analyst at Goldman Sachs** (2018-05-01–2018-08-01) — FICC \(Fixed Income Currency & Commodity\), FAST \(Franchise Analytics, Strategy & Technology\)
- **Undergraduate Researcher at MIT Media Lab** (2018-03-01–2019-09-01) — Fluid Interfaces Group
- **Machine Learning Intern at Pison Technology** (2018-01-01–2018-02-01)
- **Software Engineering Intern at Veeva Systems** (2017-06-01–2017-08-01)
- **Software Development and Concept Creation at BrainSpec** (2017-01-01–2017-02-01) — MRI imaging for MGH
- **Research Intern, KI for BioCentury and IT Convergence at KAIST** (2016-06-01–2016-08-01) — Bio and Brain Engineering
- **Undergraduate Researcher at The Picower Institute for Learning & Memory at MIT** (2016-03-01–2017-01-01) — Tissue engineering, brain mapping
- **Undergraduate Researcher for Brain Research at McGovern Institute** (2016-01-01–2016-03-01) — Optogenetics, visual processing, object recognition, and neuronal expression
- **Research Intern in Laboratory of Biochemistry at Stonehill College** (2014-06-01–2014-08-01) — Synthesized enzyme-inhibiting sugars for possible medicinal application, followed by purification by column chromatography and classification by H-NMR

## Education

- Bachelor of Science - BS, Brain and Cognitive Sciences, Computer Science and Engineering — Massachusetts Institute of Technology
- Summa Cum Laude — Groton School
- Fay School
- Master's of Engineering, Artificial Intelligence — Massachusetts Institute of Technology

## FAQ

### What does Jenna do at Microsoft?

Jenna is a Product Manager at Microsoft, where she works on Loop AI with the Docs team in Modern Collaboration and OPG. Her work combines AI research and product development.

### What professional interests does Jenna have?

Jenna’s interests include AI ethics, fairness in machine-learning systems, technology policy, AI education, computational cognitive science, developmental psychology, memory, and storytelling.

### What AI product work has Jenna contributed to?

Jenna has worked on collaborative AI foundations for Copilot and shipped real-time Copilot Canvas assistance.

### What does Jenna research at the MIT Media Lab?

Jenna is a researcher in the Personal Robots Group at the MIT Media Lab.

### What is Jenna’s role at MIT CSAIL?

Jenna is a research student in the Genesis Group at MIT CSAIL, working with Professor Patrick Henry Winston.

### What other roles has Jenna held at Microsoft?

Jenna previously participated in Microsoft’s AI Development and Acceleration rotational PM program and also served as a Program Manager Intern at Microsoft.

### What did Jenna do at Goldman Sachs?

Jenna worked as an Engineering Analyst at Goldman Sachs in FICC, or Fixed Income Currency & Commodity, and FAST, or Franchise Analytics, Strategy & Technology.

### Did Jenna work in machine learning outside Microsoft?

Jenna was a Machine Learning Intern at Pison Technology.

### What did Jenna research at the Picower Institute?

At MIT’s Picower Institute for Learning & Memory, Jenna conducted undergraduate research involving tissue engineering and brain mapping.

### What was Jenna’s earlier MIT Media Lab research experience?

Jenna was an undergraduate researcher in the Fluid Interfaces Group at the MIT Media Lab.

### Has Jenna worked in software engineering?

Jenna was a Software Engineering Intern at Veeva Systems.

### What biochemistry research did Jenna conduct at Stonehill College?

At Stonehill College’s Laboratory of Biochemistry, Jenna synthesized enzyme-inhibiting sugars for possible medicinal application, purified them through column chromatography, and classified them using H-NMR.

### What did Jenna study at the McGovern Institute?

Jenna was an undergraduate researcher for brain research at the McGovern Institute, where her work included optogenetics, visual processing, object recognition, and neuronal expression.

### What did Jenna do at BrainSpec?

Jenna worked in software development and concept creation at BrainSpec on MRI imaging for MGH.

### What was Jenna’s research experience at KAIST?

Jenna was a research intern at KAIST’s KI for BioCentury and IT Convergence, focused on bio and brain engineering.

### What graduate degree does Jenna have?

Jenna earned a Master of Engineering in Artificial Intelligence from the Massachusetts Institute of Technology.

### What is Jenna’s educational background?

Jenna earned a Bachelor of Science from MIT in Brain and Cognitive Sciences and Computer Science and Engineering. She attended Groton School, where she graduated summa cum laude, and Fay School.

### What are Jenna’s core skills?

Jenna’s skills include leadership, research, public speaking, programming, data analysis, artificial intelligence, neuroscience, biochemistry, product management, machine learning, HTML, Python, Microsoft Office, PowerPoint, Microsoft Excel, developmental psychology, and cognitive science.

## Links

- LinkedIn: https://www.linkedin.com/in/jennahong21

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