Tong Cheng is in her second year of student in the Master of Biostatistics program. She is from Hefei, China. Tong earned her undergraduate degree with a double major in Mathematics and Psychology from Boston University.
What first sparked your interest in biostatistics?
My interest in biostatistics began during my undergraduate studies when I realized the potential of statistical methods to address complex healthcare problems. Projects combining mathematics and psychology often involved data analysis, and I found myself drawn to the application of quantitative methods in improving patient outcomes.
What attracted you to the Master of Biostatistics program at Duke?
Duke’s program offers a strong balance between theoretical training and practical applications. The focus on interdisciplinary collaboration and access to cutting-edge research in healthcare aligned perfectly with my academic and career aspirations.
What do you enjoy most about this program?
I enjoy the supportive community, the intellectually stimulating environment, and the opportunity to work on real-world datasets that prepare me for impactful roles in research.
What are some of your favorite classes?
BIO702: Applied Biostatistical Methods I
BIO705: Applied Biostatistical Methods II
BIOS719: Generalized Linear Models
What skills have you gained from the program?
I have gained advanced skills in statistical analysis, programming (R, SAS, Python), and experience in designing and implementing research studies. Additionally, I’ve honed my ability to collaborate effectively with peers from diverse academic backgrounds.
What does the program do well?
The program excels in providing a rigorous curriculum, personalized support from faculty, and opportunities for hands-on learning through research and internships.
What's the most challenging aspect of the program?
Balancing the coursework with research projects can be demanding, but it’s also a great opportunity to improve time management and prioritization skills.
Did you participate in a summer internship?
Yes.
What type of work did you do for your internship?
I worked as a Research Intern at BCTIP in Duke University, where I conducted data analysis and created technical documentation using Python and R.
What advice do you have for incoming students?
Stay curious, don’t hesitate to seek help from professors and peers, and take advantage of all the resources Duke offers, including research opportunities and workshops.
What type of work do you see yourself doing in the future?
I envision myself working as a biostatistician or data scientist, focusing on healthcare research, particularly in areas like racial disparity in cancer outcomes and survival analysis using machine learning.
What do you like to do outside of work?
In my free time, I enjoy playing games (LOL, etc), cooking, and reading novels.