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Zoom Drop-in Hours

Virginia Tech's Center for Biostatistics and Health Data Science offers Zoom Drop-in Hours twice a week: 
Mondays, 10am - 2pm EST
Wednesdays, 3pm - 7pm EST
(Please read our FAQ for more details about the services we offer in our Zoom hours)

To check our availability and reserve a timeslot, please use our Bookings page to select the time and team member you would like to meet with. If you do not have a team member preference, please select "anyone" and someone will be assigned to meet with you. You can reserve a 30-minute time slot with a CBHDS team member (see table below for details). 

Click here to go to our Bookings page

VTCSOM medical students: for additional availabilty (Tues/Thurs from 2pm-4pm), click here.

Once you sign-up, a confirmation email and calendar invite with a Zoom link will be sent to your email account. For Virginia Tech affiliates, please use your @vt.edu email when reserving a timeslot. 

Note: In-person drop-ins are no longer offered. Please email us at biostats@vt.edu to make an in-person appointment or submit a request for collaboration here.

Our Drop-In Hours Team: 

Day Time Location Team Member* Preferred Programming Languages Specific Expertise**

 

 Monday

10am-2pm Zoom Xuemei (Missi) Zhang R, Python, Bash Scripting Bioinformatics, Advanced Research Computing (ARC; High-Performance Computing), Machine Learning, Deep Learning, Image Analysis
10am-12pm Zoom Rachel Silverman Stata, R, SAS, SPSS Epidemiologic Methods & Study Design, Tailored Survey Design
10am-12pm Zoom Ben Brewer R, SAS, MATLAB, Stata, SPSS Actigraphy Data, Advanced ROC Analysis, Network Analysis
12pm-2pm Zoom Chris Grubb R, Python, JMP, Minitab Bayesian Statistics, Machine Learning, Agent-Based Modeling
Wednesday
3pm-5pm Zoom Chris Grubb R, Python, JMP, Minitab Bayesian Statistics, Machine Learning, Agent-Based Modeling
3:30 pm-4:30 pm Zoom Xuemei (Missi) Zhang R, Python, Bash Scripting Bioinformatics, Advanced Research Computing (ARC; High-Performance Computing), Machine Learning, Deep Learning, Image Analysis
5pm-7pm Zoom Emmanuel Nartey R, Python, SAS, SPSS Cluster Analysis, Interpretable Machine Learning, Complex Survey Analysis
  Alternate Zoom Alicia Lozano SAS, R, Stata, SPSS  

*May change based on availability
**All team members are proficient in all common statistical methodologies and study designs

Find out more details about our team's statistical Methods and Tools expertise.

If you would like to work with the Center, please click on the following link and fill out the request form.          

If you would like to learn more about how our collaboration process works, please click the following link.