top of page
IMG_0779_edited.jpg

John Nguyen

Major: Computer Science

Research Department: Lyda Hill Department of Bioinformatics

Graduation Date: Spring 2023

Abstract: Encoding & Predicting 3D Genome Interactions with AI

Email: john.nguyen2@utdallas.edu

  • Facebook
  • Twitter
  • LinkedIn
  • Instagram

My Story

This is your About page. This space is a great opportunity to give a full background on who you are, what you do and what your site has to offer. Your users are genuinely interested in learning more about you, so don’t be afraid to share personal anecdotes to create a more friendly quality.

Every website has a story, and your visitors want to hear yours. This space is a great opportunity to provide any personal details you want to share with your followers. Include interesting anecdotes and facts to keep readers engaged.

 

Double click on the text box to start editing your content and make sure to add all the relevant details you want site visitors to know. If you’re a business, talk about how you started and share your professional journey. Explain your core values, your commitment to customers and how you stand out from the crowd. Add a photo, gallery or video for even more engagement.

Contact

I'm always looking for new and exciting opportunities. Let's connect.

123-456-7890 

​What does research mean to you? 

Research is a constant state of asking questions and trying to test different approaches. I worked on an artificial intelligence project focused on extracting and predicting genomic data, so I worked primarily at a computer desk, reading through code, writing scripts on extracting DNA data, and tinkering with a machine learning algorithm. Similar to many other fellows, I often got stuck and had to redo lengthy procedures or look back on what might have gone wrong. Failure was part of the process. 

​

Tell us about your journey​!

I have always been a lifelong learner, and consequently was encouraged into the world of research by my partner. I started with a summer REU at Rice University, where I worked with ML to accelerate hardware. However, the experience was completely virtual and I was not able to learn much. I decided to give research another shot by applying to the Green Fellows program. At first, I was a little apprehensive about applying because it seemed more catered toward students pursuing health and medical sciences. But I reached out to a former Green Fellow Rhea Iyer through this same Weebly page, and she made me feel a lot more comfortable about applying. She was also a CS major and we connected well on what to expect. 

​

What was your favorite part about the program? 

My favorite part of the program was getting to meet with the other Green Fellows. They were some truly inspirational people in my cohort, whose passion for research and graduate study was truly infectious. Even though I ultimately decided that research was not for me, the connections and personal friendships that I built were valuable. As Green Fellows, we would have these biweekly meetings and we would get to catch up with one another before and after meetings. Most of us would make lunch plans and after-work plans with one another. Without their camaraderie, I would have felt a lot more overwhelmed with the expectations back at my lab.

​

What was the biggest thing you learned from the program?

My mentor taught me great skills on how to find relevant information through relevant documentation, test out malfunctioning code, and figure out code independently. As a CS major now looking to enter the workforce as a software engineer, these skills are now extremely useful as a technology intern at PNC Bank.

​

Advice for Future Green Fellows

Don't be afraid out! I'd be happy to meet and talk more. As I mentioned, I met some great people who provided great advice and encouragement to the program, and I would love to pay it forward. 

bottom of page