At the Bansal Lab, our work is interdiscplinary. We're always looking for:
- biologists interested in applying/developing quantitative and computational methods to their disease systems
- mathematicians and computational scientists interested in infectious disease problems
Interdisciplinary approaches, diverse systems
Collaboration with experimentalists and field scientists
Traditional methods combined with novel, creative tools
Open source, open data, open access philosophy
Policy impact through goverment and private partners
At the heart of DC's rich cultural & intellectual life
Candidates that can add diversity to our lab group are particularly encouraged to apply!
There are no open call for applications right now. But, we always welcome applications from excellent candidates in the following areas:
- Spatio-temporal dynamics of vaccination behavior and immunizing infections (measles, pertussis, influenza)
- Network modeling of behavior and disease in human and animal societies
A doctorate in Applied Mathematics, Network Science, Biostatistics, Mathematical Biology, Theoretical Ecology, Epidemiology, or a closely related field.
How to Apply
Please email Shweta Bansal with a CV, a short research statement describing your past work and future research goals, and a list of references (letters not required at initial inquiry).
We recruit students interested in pursuing graduate work in disease ecology and network epidemiology for the following programs:
- PhD in Biology
- PhD in Global Infectious Diseases
- MD/PhD program at GUMC
- GU-NIH PhD in Biomedical Sciences
How to apply
Please consult the individual program websites for information on application requirements and deadlines.
It is highly recommended that you contact Shweta Bansal to discuss a match between your interest and the lab's before applying to one of these programs. Please share your CV/resume and why you think the lab might be the right place for you. If you're comfortable sharing information about your personal background/identity, please do-- we aim to be a diverse community.
Are we the right match in terms of research?There are some broad things to know about our work:
- We are an interdisciplinary group so diverse academic backgrounds are welcome!
- All of our work is mathematical/stastical in nature, so past exposure to mathematical modeling or statistical approaches is important (so you can know what you're committing to before signing up for 5 years of work!). This can be in the form of research experience or past course(s). (If you don't have this exposure, but are still interested, get in touch with Shweta for a conversation about other opportunities.)
- For our human disease work, we primarily have funding for work on directly-transmitted diseases and focused on the US public health system as a case study.
You must have an interest in problems of infectious diseases, and a desire to learn mathematical modeling and computer programming (previous experience preferred, but not required).
We do not generally accept students until their sophomore year. We also do not accept senior thesis students unless they have previously conducted research in the lab.
How to apply
Please contact Professor Bansal with the following information:
- Major and graduation year
- Your resume/CV
- List of biology, math, and computer science courses you have taken (or any other mathematics and programming experience you may have). Did you enjoy these courses?
- Are you looking for research credit? Your options may include: GUROP, a research tutorial, or a senior thesis
- How many hours can you commit to working in the lab/ How many semesters do you anticipate having time for research?
- Why are you interested in research experience? How will it fit into your career goals?
- Read a publication from the lab and tell me what you think. Where would you take that study next?
- If you're comfortable sharing something about your personal background/identity, please do.