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- MS in Chemical Engineering, Beijing Institute of Technology
- BS in Bio Engineering, Beijing Institute of Technology
- Hometown: China
- Field of Study: Data analysis
- PhD Advisor: Olga Vitek
Dan Guo is a PhD student in the computer science program at Northeastern University, advised by Professor Olga Vitek. Guo researches and improves the performance of data analyzing software that works with mass spectrometry imaging. With her research experience based on theory, hardware building, and application of mass spectrometry, Guo’s academic path has evolved into data analysis. Before joining Northeastern, Guo earned her master’s degree in chemical engineering from Beijing Institute of Technology as well as her bachelor’s degree in bioengineering from the same institution.
What are the specifics of your graduate education (thus far)?
I have a master’s degree in chemical engineering and I specialized in analytical chemistry based on mass spectrometry. I have research experiences in theory, hardware building and application of mass spectrometry. I am currently taking courses in data science at Northeastern.
What are your research interests?
My academic path evolved. When I was doing research in mass spectrometry, I found that data analysis is more attractive. Sometimes analyzing samples on mass spectrometers is easy, while processing the data is difficult.
What’s one problem you’d like to solve with your research/work?
What we’d like to solve is improving the performance of the software that analyzes the data of mass spectrometry imaging.
What aspect of what you do is most interesting?
Mass spectrometry is a powerful tool in analytical chemistry. I think the most fascinating aspect is transforming a very large and massive MS data set into a concise and visual graph.
What are your research or career goals, going forward?
My research goal is to continue research in the area of MS data analysis.