February 9-10, 2026
Tuesday-Wednesday
Germantown, MD
The Bioscience Education Center
9:00am-5:00pm
1 Hour Lunch Break
'R' is a popular statistics software program used widely in various research fields. This two day lecture and hands-on computer based laboratory workshop is designed to introduce bench scientists to R programming, utilizing the different tools available for scientific data analysis. Hands-on topics will include Data Types; Import/Export Data; "Manipulation of Tabular Data", "Basic Statistics", and "Visualization using R".
![]() | Lecture and Hands-on Interactive Training |
![]() | Team taught by active researchers |
![]() | Thumbnail drive with Lectures and Workshop material |
![]() | Space limited to 24 participants |
![]() | Registration Fee: $695 |
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"Very informative workshop with a very knowledgable lecturer. Covered the various aspects of NGS and provided guidance I needed."
Marquita Gittens-St. Hilaire
University of the West Indies (Cave Hill)
NGS
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"It was my first experience with professional development workshop in the USA. I liked it a lot. It was well organized, flexible and friendly. It helped to put in order my preceding knowledge and gain more."
Larisa Ryzhara, MD, PhD
Staff Scientist II
Maine Medical Center Research Institute
CRISPR
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"This was a great workshop to become acquainted with Next Generation Sequencing Technologies and applications. I would highly recommend this course to anyone interested in an in-depth hands-on course covering relevant NGS bioinformatics and command line tools. Great experience!"
Cara Schafer
Henry M. Jackson Foundation
for the Advancement of Military Medicine
NGS
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"Great investment. Took material that would have taken months to compile and perfect on my own, and packed it into 3 days."
Richard Barrett
PHD Student
University of Central Florida
CRISPR
Course Director
Sijung Jun, PhD,
PRESIDENT & COO
CO-FOUNDER
Predictiv
Laptops are available on site but you are also welcome to bring your own (please make sure you have administrator rights). Assistance will be given to those who need help installing 'R' and 'R Studio'. By using your personal laptop, you will be able to continue using R and R Studio, utilizing the examples given during the program after the workshop has ended.
![]() | Dr. Sijung Yun PRESIDENT & COO CO-FOUNDER Predictiv Dr. Yun obtained his Ph.D. in computational biology from Boston University, with his research focusing on the aggregation of amyloid beta protein in Alzheimer's disease. Sijung took a postdoc position at the NIH, with the National Cancer Institute (NCI) studying structural bioinformatics and proteomics. Later, he worked at the genomics core in National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). Currently, he is an independent contract bioinformatician primarily working for National Institutes of Health (NIH), Adjunct at Johns Hopkins School of Medicine and is a lead instructor in numerous bioinformatics next generation sequencing (NGS) training activities. Dr. Yun had directed our Bio-Trac NGS related workshops since 2009 and has provide NGS instruction to over 750 Bio-Trac participants. Dr. Yun obtained his Ph.D. in computational biology from Boston University, with his research focusing on the aggregation of amyloid beta protein in Alzheimer's disease. Sijung took a postdoc position at the NIH, with the National Cancer Institute (NCI) studying structural bioinformatics and proteomics. Later, he worked at the genomics core in National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). Currently, he is an independent contract bioinformatician primarily working for National Institutes of Health (NIH), Adjunct at Johns Hopkins School of Medicine and is a lead instructor in numerous bioinformatics next generation sequencing (NGS) training activities. Dr. Yun had directed our Bio-Trac NGS related workshops since 2009 and has provide NGS instruction to over 750 Bio-Trac participants. |
![]() | Allissa Dillman, Ph.D. Dr. Allissa Dillman is the founder and CEO of BioData Sage LLC, a company focused on providing a holistic approach to data science integration in the biomedical and biological science fields. Dr. Dillman offers data science strategic planning, including the usage of appropriate tools, platforms, datasets, and reproducible practices. BioData Sage works with clients in industry, academia, government, and the nonprofit sector, creating and supporting training programs on data science, cloud computing, and the tools and standards for reproducible data science practices for scientific and lay communities. Dr. Dillman worked at NIH for over 10 years and most recently served as the workforce development and community engagement lead for the Office of Data Science Strategy (ODSS). She built and executed data science integration programs bringing in undergraduates through mid-level data scientists to tackle NIH’s complex data ecosystem. Allissa has focused specifically on lowering the barriers of entry for data science and cloud computing by building train-the-trainer programs for STEM educators from low-resourced schools and facilitating data science training programs for students at HBCUs, MSIs, and HSIs. She has coordinated and participated as a judge, mentor, and team lead in over 50 hackathons in academia, industry, government, and nonprofit sectors. Dr. Dillman has contributed to over 50 scientific publications and has a long-standing research interest in using bioinformatic tools and data science techniques to answer a wide variety of biological questions. Dr. Dillman received her Ph.D. in computational neuroscience as part of the graduate partnership program between NIH and the Karolinska Institute, Sweden, in 2014. At Bio-Trac, Dr. Dillman directs a Next Generation Sequencing workshop; co-directs several workshops including “R for Research Scientist” and “RNA-Seq: Principles, Methods and Computational Analysis” as well as an active instructor in the Single Cell RNA-Seq workshop. |
February 2022
“This is one of the best workshops on R. The teachers are excellent and the course is well designed.” Vaibhav S., PhD, Cleveland Clinic
“It is a very helpful workshop. I would recommend it to all scientists working in biological field.” Chunping Q., RegenxBio
“The course provided a good introduction to R programming, with hands-on-examples.” Elad F., RegenxBio
“Very good, learned many things.” Boajesh S., NIH
“I really like the course and it’s really helpful. I would say if the workshop can be held for longer time, such as trained within one week instead of two days, which is much better.” Zhuo W., RegenxBio
“Both of the lecturers are very knowledgeable. I really enjoy the courses and learned a lot.” Lan J., RegenxBio
“The instructors are great. I just wish we had one more day to cover everything. Thank you.” Alexandra D., Kelly & Dewitt, Inc.
“This is one of the best courses on R for Research Scientist. Teachers are excellent and the course is well designed.” Vaibhav S., Lerner Research Institute, Cleveland Clinic
“It is a very helpful workshop. I will recommend to all scientists working in a biological field.” CQ






