Do you have data to manage and analyze, statistical analysis to run, code to debug? Don’t feel alone or overwhelmed; Graduate Quantitative Methods Center (GradQuant) is here to help. GradQuant offers training to UCR graduate students and postdoctoral researchers on probability and statistical inference, statistical software and computing, data management, and digital humanities. We’re here to support you from the initial stages of experimental design to the final stages of data analysis and reporting throughout graduate school.

GradQuant Consultants

Ruihan Lu is a Ph.D. candidate in the Statistics Department, working under Dr. Yehua Li. Currently she is spending most of her time on research concerning Alzheimer's disease in the United States, specifically for women. Her research interests focus on but are not limited to mixture regression, longitudinal analysis, machine learning. Additionally, she holds a Master of Science degree in Business Intelligence and Analytics and minored in Mathematics from Stevens Institute of Technology.

Her specialties are probability theory, statistical inference, advanced statistics, machine learning, longitudinal analysis, multivariate analysis, nonparametric methods, R programming language, LaTeX, SAS, and Python.

Matt Arthur is an Applied Statistics Ph.D. student at UCR. Prior to his graduate studies, Matt worked in the actuarial field, where he analyzed corporate data to model and quantify uncertainty associated with company assets and liabilities. Matt received B.S. degrees in Mathematics and Statistics from the University of Minnesota Duluth, as well as a B.A. in Economics. His research interests include computational statistics, experimental design, and data mining with applications in biology and medicine.

His specialties are statistics, statistical theory and inference, probability theory, nonparametric methods, R, LaTeX, SQL, and data mining.

Queen Ikhelowa is an Applied Statistics PhD student at UCR. She has a Bachelor of Science degree in Microbiology from the University of Abuja Nigeria. After that, she wanted to pursue a career in Biostatistics and went on to obtain a Master's in Biostatistics from California State University, East Bay.  In her spare time, she likes to go hiking, cook, and spend time with her nieces and nephews. Some of her research interests include categorical data analysis, survival analysis, machine learning, experimental design, clinical trials, and statistical inference.

Her specialties are regression, statistical inference, probability theory, R, SAS, machine learning, and categorical data analysis.

 

 

Workshops

In our workshops, we cover a wide variety of topics from statistics to programming languages at both beginner and advanced levels. You may see our fall workshop calendar here, and register in WC Online. In Fall, we will be offering the following workshops:

• Introduction to R
• Causal Inference
• Hypothesis Testing 
• Introduction to LaTeX
• Data Manipulation in R
• Introduction to SAS
• Correlation and Regression
• Introduction to Survival Analysis
• ANOVA
• How to Use UCR LaTeX Dissertation Template
• Data Visualization in R

Suggest a workshop topic: If there is a workshop topic we are not currently offering, feel free to let us know here, and we’ll do our best to include those topics in our workshop schedules in upcoming quarters. 

Request a workshop: If you want us to present a workshop to your class, department, or study group, you may request a workshop by filling out the form here. We’ll then follow up with you to schedule the workshop for your group.

Watch workshop recordings: What if you really want to attend a workshop, but you are not available at the scheduled day and time? Don’t worry; we’ve got your back! If you miss a GradQuant workshop, you may always visit our Previous Workshop Resources page for an archive of workshop slides and videos, and watch it when it works for you. Note that UCR CAS login is required to access this page.

One-on-one Consultations

In Fall, we continue to offer 20- and 50-minute individual consultations in Skype to provide more in-depth assistance with your quantitative needs. Go to our online appointment platform, WC Online, see appointments available, and schedule your individual consultation with a GradQuant consultant whose expertise matches your area of concern.

Drop-in and Hacky Hours

If our one-on-one consultation appointments don’t work for you, you can still get help in drop-in visits. GradQuant offers Drop-in Hours to graduate students and postdocs, run on a “first-come, first-served” basis. In Fall, GradQuant Lead Consultant Ruihan Lu will run Drop-in Hours in Zoom every Monday, 1-3pm. Visit our Drop-in Hours page to read the details and find the Zoom link.

Hacky Hours are similar to Drop-in Hours, but it is a collaboration between GradQuant and the UCR Library and open to the whole campus, serving undergraduate & graduate students, faculty, and staff. Hacky Hours will be run by GradQuant Lead Consultant Ruihan Lu and Kat Koziar, Data Librarian, every Tuesday, 2-4pm. Visit the Drop-in Hours page to read the details and find the Zoom links to meet with Ruihan and Kat.

For more information and resources, visit GradQuant website. If you have any questions, contact us at gradquant@ucr.edu or directly email Coordinator, Dr. Yelda Serin at yelda.serin@ucr.edu. We’re excited to see you in Fall in consultations, drop-in visits, and workshops!