San Antonio, Texas – From May 16 to 22, 2026, over 50 aspiring and early-career scientists converged at the La Cantera Resort in San Antonio, Texas, for the third annual Cancer Research Institute (CRI) Bioinformatics Bootcamp. This intensive, week-long program provided immersive, hands-on instruction designed to bridge the widening gap between experimental biology and the complex demands of data science in the rapidly evolving field of cancer immunotherapy. As cancer research increasingly relies on the generation and sophisticated analysis of vast datasets, this bootcamp stands as a critical initiative to equip researchers with the computational prowess necessary to drive future breakthroughs.
The Evolving Landscape of Cancer Immunotherapy and the Data Imperative
The fight against cancer has undergone a transformative shift in recent decades, moving beyond traditional chemotherapy and radiation towards targeted therapies and, most notably, immunotherapy. Immunotherapy harnesses the body’s own immune system to detect and destroy cancer cells, offering profound and often durable responses for many patients. However, the success of immunotherapy is not universal, and understanding why some patients respond dramatically while others do not requires an unprecedented level of data analysis. Genomic sequencing, proteomic profiling, single-cell RNA sequencing, and advanced imaging techniques now generate petabytes of biological information, painting intricate pictures of tumors and their immune microenvironments.
This deluge of "big data" presents both an immense opportunity and a significant challenge. While experimental biologists excel at generating these complex datasets in the "wet lab," extracting meaningful, actionable biological insights from them – the domain of the "dry lab" or bioinformatics – requires specialized computational skills. The CRI Bioinformatics Bootcamp was conceived precisely to address this critical need, fostering a new generation of cancer researchers who are adept at both laboratory experimentation and advanced data interpretation.
A Three-Year Chronology of Computational Excellence
The CRI Bioinformatics Bootcamp, now in its third iteration, has steadily evolved since its inception, continually refining its curriculum to meet the dynamic pace of technological advancement in the field. The initial program, launched three years prior, laid a foundational emphasis on the basics of programming and fundamental bioinformatics principles. As Dr. Katie Campbell, a faculty member who has been involved since the bootcamp’s start, explained, "When we started the bioinformatics bootcamp just three years ago, we really focused on the basics and the fundamentals of programming. With the rapid pace of technology, there’s a rapid pace of the tools available to analyze. We have to think about how we accelerate not just the discovery but the analysis, the everyday, without taking away the necessary thought processes that have to be intrinsic to the fellows as they take on this research."
This year’s program in May 2026 represented a significant leap forward, incorporating more advanced topics and novel session formats. The continuity of faculty involvement has been a cornerstone of this evolution, with four of the five expert bioinformatics faculty members having participated since the program’s beginning. This consistent leadership has ensured a cohesive and progressive curriculum, adapting to the latest tools and methodologies in computational biology relevant to immunology and oncology. Five dedicated teaching assistants, all experts in bioinformatics and computational biology, provided crucial one-on-one support, facilitating the hands-on learning experience for participants.
Curriculum Designed for Real-World Impact
The core of the bootcamp’s instruction focused on key bioinformatics approaches essential for contemporary cancer research. This included comprehensive training in next-generation sequencing analysis, which allows for rapid and cost-effective sequencing of DNA and RNA to identify genetic mutations, gene expression profiles, and other crucial biological information. Participants also delved into single-cell technologies, a revolutionary approach that enables researchers to analyze the molecular characteristics of individual cells within a heterogeneous tumor or immune population, revealing nuances previously obscured by bulk analysis.
Beyond data generation, the program emphasized practical skills in data visualization, enabling scientists to effectively communicate complex findings, and the development of robust computational workflows, ensuring reproducibility and efficiency in their analyses. Christie Chang, a teaching assistant at the bootcamp, underscored the program’s unique role: "The Bootcamp is important because it’s really bridging the gap across two fields of the wet lab and the dry lab. As technologies are evolving, we’re generating large data sets, and we need computational tools to be able to understand more complex pictures, more complex data sets, and make more complex discoveries. We’re only learning about cancer because we were able to extend lifespans, and we want to keep extending them. Technology advances so that we can live longer."
A distinctive feature of the CRI Bootcamp is its emphasis on direct application. Attendees had the invaluable opportunity to work one-on-one with faculty mentors on their own datasets, translating theoretical knowledge into practical solutions for their ongoing research projects. This personalized approach ensures that the skills learned are immediately relevant and applicable, accelerating the integration of bioinformatics into their scientific endeavors.

Enhanced Learning: New Sessions and Collaborative Opportunities
Recognizing the diverse needs of its participants and the rapid pace of scientific discovery, CRI introduced several new topic-focused sessions in 2026. These additions were strategically designed to deepen understanding, foster networking, and address emerging trends in the field.
Lunch-hour roundtables, intentionally capped at 18 participants, created intimate forums for engaging discussions. Topics ranged from the intricacies of complex experimental design in a data-rich environment to navigating computational career pathways, and even practical advice on grant planning for bioinformatics-intensive projects. The importance of coding reproducibility, a cornerstone of rigorous data science, was also a key discussion point. These smaller, focused groups facilitated deeper interaction with faculty and peers, allowing for tailored advice and the sharing of diverse perspectives.
Further enriching the experience, additional evening sessions explored timely and cutting-edge subjects. Artificial intelligence (AI) in research, a topic dominating scientific discourse, was a major focus, examining its current applications and future potential in accelerating cancer discovery. Advanced Python coding techniques were also taught, providing participants with more sophisticated tools for data manipulation and analysis. These thoughtfully curated sessions aimed not only to expand technical skills but also to inspire innovative thinking and provide practical ideas directly applicable to the attendees’ ongoing work.
Maryam Pourmaleki, PhD, another TA at the bootcamp, highlighted the pressing need for such training: "In today’s time, a lot of science is moving towards big data. Scientists who have phenomenal training in wet lab now need to analyze bigger multimodal data they’re generating, and the Bootcamp is giving those scientists the necessary tools to work with big data."
CRI’s Broader Commitment to Immunotherapy Advancement
The Bioinformatics Bootcamp is a tangible manifestation of CRI’s enduring commitment to accelerating progress in cancer immunotherapy. For decades, CRI has been a pioneering force, funding groundbreaking research and supporting the education of future leaders in immunology. By empowering researchers with sophisticated data analysis capabilities, the bootcamp directly contributes to CRI’s mission to drive discoveries that will ultimately improve how cancers are understood, diagnosed, and treated. The organization recognizes that the next generation of breakthroughs will largely stem from the ability to effectively interrogate and interpret the massive datasets now routinely generated in cancer research.
This program extends beyond mere technical skill-building; it actively fosters a growing network of scientists united by a shared goal: advancing the future of cancer immunotherapy through data-informed research. Participants leave the bootcamp not only with enhanced analytical capabilities but also with newfound confidence in integrating bioinformatics seamlessly into their own scientific work and collaborative projects. The emphasis on collaboration, accessibility, and real-world application creates a supportive learning environment where scientists from diverse backgrounds, many with limited prior computational training, can thrive. By demystifying bioinformatics and making advanced analytical tools approachable, CRI is expanding computational literacy across the broader cancer research community.
Implications for the Future of Cancer Research
The implications of programs like the CRI Bioinformatics Bootcamp are far-reaching. As cancer research becomes increasingly precision-focused, the ability to analyze complex patient data is paramount for developing personalized treatment strategies. Bioinformatics enables researchers to identify specific biomarkers that predict response to immunotherapy, uncover novel therapeutic targets, and understand the intricate mechanisms of resistance. This directly impacts the development of new drugs, the refinement of existing treatments, and the ability to tailor therapies to individual patient profiles, moving closer to the promise of precision medicine.
Moreover, by training scientists to confidently navigate the "big data" landscape, the bootcamp addresses a critical workforce gap. The demand for skilled bioinformaticians far outstrips supply, and initiatives like CRI’s are vital for building the human capital necessary to sustain and accelerate scientific progress. The connections forged during the bootcamp also lay the groundwork for future interdisciplinary collaborations, which are increasingly essential for tackling the complex challenges of cancer. Tara Muijlwijk, PhD, an attendee and CRI Dr. Keith Landesman Memorial Fellow, emphasized this aspect: "It’s super important to zoom out from your own research. The Bootcamp is really a great way to zoom out and to think about, okay, what am I doing, why am I doing this, and also to connect with other people, which is super important in research."
Ultimately, the CRI Bioinformatics Bootcamp represents a strategic investment in the future of cancer research. By fostering curiosity, promoting collaboration, and instilling computational confidence, the program equips emerging scientists to push the boundaries of discovery. As Jia Yu (Jennifer) Ye, PhD, a Bootcamp attendee and CRI Immunoinformatics Postdoctoral Fellow, succinctly put it: "It’s just such an amazing opportunity offered by CRI to really help learn all of the informatics skills more systematically, rather than just chatting with an AI engine." This systematic approach, coupled with expert guidance and a collaborative spirit, ensures that the next generation of immunotherapy breakthroughs will be built on a solid foundation of rigorous, data-informed science.

