FAES Academic Programs

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Save the date for the upcoming FAES Science Insight Series event!

On August 6th at 11:45AM, join the FAES Academic Programs Team in the FAES Learning Labs for a fascinating presentation- From Snapshots to Signals: Using AI to Personalize Addiction Care with Brenda Curtis, Ph.D., MSPH, Chief, Technology and Translational Research Section, National Institute on Drug Abuse (NIDA).

Addiction risk changes between clinic visits, but care systems often detect relapse, craving, and treatment disengagement only after they occur. This talk explores how artificial intelligence, digital phenotyping, smartphone sensing, and language analysis can help identify changing risk states earlier and support more timely, personalized, and ethically bounded addiction care.

The session will include a 40-45 minute presentation, followed by Q&A and lunch. Don’t miss this opportunity to learn, connect, and explore cutting-edge science!

Register now!
https://hubs.la/Q04pLGX60

Registration for Fall Term Courses is Open: Save with a 2-Course Bundle!

Ready to build your expertise and save on tuition? FAES two-course bundles are designed to provide a structured learning path, helping you develop in-demand skills across bioinformatics, artificial intelligence, programming, data science, statistics, genomics, immunology, microbiology, and language learning.
Whether you want to strengthen your technical skills, advance your research, or expand your professional toolkit, course bundles offer a convenient and cost-effective way to deepen your knowledge and maximize your learning experience.
Courses start August 26 (Session A) and October 21 (Session B).

👉 View the Fall Course Schedule now!

https://hubs.la/Q04qHX_N0

🧬 Upcoming Webinar Alert! On July 22nd at 12PM, join the FAES Academic Programs Team for an Educational Webinar Series: What You Can Discover with Single-Cell Sequencing: A Field Guide to scRNA-seq Applications with Rajee Ganesan, Ph.D. Candidate, Carnegie Mellon University.

Single-cell RNA sequencing has revolutionized the study of genomics. Here, we discuss just a few applications of scRNA-seq downstream analysis, ranging from identifying cell-type-specific gene expression to uncovering regulatory evolution across species. We'll show how to use the bioinformatics pipeline established in BIOF 555 as the foundation for answering large-scale biological questions.

👉 Register now to secure your spot and expand your scientific toolkit!

https://hubs.la/Q04pLJtY0

We are excited to announce the upcoming FAES Science Insight Series event!

On July 21st at 11:45AM, join the FAES Academic Programs Team in the FAES Learning Labs for a fascinating presentation: Microscopic Imaging of the Retina in Patients Using Adaptive Optics with Johnny Tam, Ph.D., Senior Investigator, Clinical and Translational Imaging Section, NEI.

Adaptive optics is a technology used in modern large astronomical telescopes for correcting aberrations in earth’s atmosphere. In this talk, Dr. Tam will describe how adaptive optics has transformed the field of retinal imaging, with examples of new clinical insights from studying patients with rare diseases at the NIH Clinical Center.

The session will include a 40-45 minute presentation, followed by Q&A and lunch. Don’t miss this opportunity to learn, connect, and explore cutting-edge science!

👉 Register now and be part of the conversation!
https://hubs.la/Q04pLp1g0

TOMORROW AT 12 PM! FAES Virtual Information Session: Fall Programming. Join us to learn more about our fall courses, workshops, and the FAES Academic Programs Student Scholarship. Registration for fall courses opened on July 8th and courses start on August 26th (Session A) and October 21st (Session B).

Register now! https://hubs.la/Q04pcz2p0

Upcoming Virtual/Online Workshops in R programming, Statistics, and data visualization
-BIOF 097 I Practical Scientific Statistics (July 21-23, 2026)
This workshop is uniquely organized so students can choose their preferred statistical analysis software to run statistical analyses (such as SPSS, GraphPad Prism, or R) and will receive instructional support as they use their chosen software. Instructions to run basic analyses using Excel and links to online analysis resources will also be available for students who are not sure which software they prefer.

-BIOF 095 I Protein Structure Using AI and Visualization (July 30, 31, August 3, 4, 2026, Mornings)
This 4 half-day workshop aims to familiarize you with sources of experimental and theoretical protein structure models, recent developments in predicting protein structures using AI, and one or more visualization software programs.

https://education.faes.org/contentManagement.do?method=load&code=CM000032

"No one’s Ph.D. journey is the same, and no one deserves to be shamed for how long it takes." https://scim.ag/3PgPXG0

🔬 Master the Fundamentals of Bioimage Processing & Analysis
📅 BIOC 062 | Image Processing and Analysis August 11–13, 2026

Led by Dr. Teng-Leong Chew, Director for the Advanced Imaging Center (Howard Hughes Medical Institute (HHMI)'s Janelia Research Campus), the goal of this three-day hands-on workshop is to survey the fundamentals of how image pixel data can be used to extract biologically meaningful information.

📍 In Person | FAES Learning Labs, Building 10 (B1 Level), NIH Campus
As bioimaging technologies continue to advance, the ability to accurately process, analyze, and interpret image data has become an essential skill for today's life scientists. Yet many researchers face a common challenge: navigating the complex landscape of image analysis methods without formal training in digital image processing.

This three-day, hands-on workshop is designed to bridge that gap.
Participants will gain a practical understanding of the fundamental principles of image processing and learn how to transform pixel data into biologically meaningful, reproducible results. The course also addresses common analytical pitfalls that can unintentionally lead to misleading conclusions, helping researchers improve the rigor, accuracy, and reproducibility of their imaging studies.

Whether you're new to quantitative image analysis or looking to strengthen your analytical foundation, this workshop provides the essential knowledge and hands-on experience needed to confidently analyze biological images.

🧬 Ideal for: Biologists, biomedical researchers, imaging scientists, and anyone working with microscopy or biological image data.

https://education.faes.org/contentManagement.do?method=load&code=CM000032

Join FAES for These Exciting Upcoming Events

July 16 at 12 PM: FAES Virtual Information Session: Fall Programming. Join us to learn more about our fall courses, workshops, and the FAES Academic Programs Student Scholarship. Registration for fall courses opens on July 8 and courses start on August 26 (Session A) and October 21 (Session B). Register now! https://education.faes.org/

July 21 at 11:45AM: FAES Science Insight Series: Microscopic Imaging of the Retina in Patients Using Adaptive Optics with Johnny Tam, Ph.D., Senior Investigator, Clinical and Translational Imaging Section, NEI. Register now! (Event Flyer) Nominate a speaker from this list of NIH principal investigators here!

July 22 at 12PM: FAES Educational Webinar Series: What You Can Discover with Single-Cell Sequencing: A Field Guide to scRNA-seq Applications with Rajee Ganesan, Ph.D. Candidate, Carnegie Mellon University (BIOF 555, BIOF 556). Register now!

August 6 at 11:45AM: FAES Science Insight Series: From Snapshots to Signals: Using AI to Personalize Addiction Care with Brenda Curtis, Ph.D., MSPH, Chief, Technology and Translational Research Section, National Institute on Drug Abuse (NIDA). Register now! Nominate a speaker from this list of NIH principal investigators here!

August 11 from 11 AM - 2 PM: FAES Academic Programs Fall Open House (South Lawn of Building 10). Stop by to learn more about FAES Academic Programs, Housing, and Retail departments and a ticket for a scoop of ice cream from the Ben & Jerry truck! We will also be joined by our partners UMBC at the Universities at Shady Grove, The Graduate School at Hood College and EmpowerBio. No registration necessary.