Consortium Leadership
The consortium is led by four principal investigators who together bring broad and deep expertise in preclinical and clinical tuberculosis drug and regimen development.
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Scientific & Operational Administration
Our consortium connects the brightest minds in TB research, clinical trial design, and data modeling — united to deliver better treatments, faster.
Dr. Savic is a Professor of Pharmacy and Medicine at UCSF, Co‑Vice Dean of Graduate Pharmacy Education, and Associate Director of Data Science at the UCSF Center for Tuberculosis. As Project Director for the PReDiCTR‑TB Consortium, she provides strategic leadership and oversees all administrative functions, including budgeting, compliance, reporting, vendor and contract management, and cross‑institutional coordination. A global leader in TB data science and modeling, she brings 20+ years in quantitative pharmacology, PK/PD, and biomarker analysis, with 15+ years focused on TB.
She has led major multi‑partner efforts, notably the WHO/BMGF‑funded TB ReFLECT consortium, generating evidence that reshaped TB regimen design and clinical trials, and has driven modeling across TBDA, UNITE4TB, CDC’s TB Trial Consortium, and USAID’s SMART4TB.
Her pediatric TB pharmacology work informed WHO dosing guidelines and supported FDA and EMA labeling. Within PReDiCTR‑TB, she leads the Data Science and Modeling Group and serves on the SLG, PFC, and Administrative Group. Her lab is a “go‑to” resource for rigorous modeling and data integration that advance effective, patient‑centered TB treatments.
Dr. Velásquez is an Assistant Professor of Medicine in the Division of HIV, Infectious Diseases, and Global Medicine at the University of California, San Francisco. He is a practicing infectious disease physician who oversees a research program focused on therapeutic clinical trials for tuberculosis (TB).
He works with the UCSF Center for Tuberculosis (tb.ucsf.edu), the endTB consortium (endTB.org), the SMART4TB consortium (tbcenter.jhu.edu/smart4tb), and the Advancing Clinical Therapeutics Globally trials network (actgnetwork.org) on Phase 2 and Phase 3 randomized controlled trials evaluating new treatment regimens for drug-susceptible and drug-resistant TB. Active collaborations stemming from these clinical trials include pharmacokinetic, immunogenetic, and implementation sub-studies with the goal of influencing domestic and international guidelines for the treatment of TB, the leading cause of death worldwide from a single infectious agent.
Dr. Velásquez serves as the PReDiCTR-TB Administrative Group (AG) Lead. His work in PReDiCTR-TB, informed by his expertise in TB clinical trials, is motivated by the Consortium's goal to prioritize and advance the most promising TB regimens.
Dr. Gopalkrishnan is the Senior Scientific Program Manager for the PReDiCTR-TB Consortium in UCSF’s Department of Bioengineering and Therapeutic Sciences, overseeing the science, program design, coordination, and daily operations to prioritize and advance promising tuberculosis (TB) treatment regimens.
She leads strategic planning, implementation of key components, and management of timelines, budgets, and regulatory requirements across a distributed, multidisciplinary team. From 2023–2025, she directed scientific and administrative operations for two major multi-institutional initiatives at UCSF’s Quantitative Biosciences Institute (QBI): the $67.5M NIH-funded AViDD program and the $35M+ OpenADMET/Avoid-ome project supported by ARPA-H and the Gates Foundation.
These efforts united 50+ laboratories and 200 researchers across academia, biotech, and government to accelerate therapeutic development for global health threats. Across roles, she has built the operational infrastructure for effective multi-partner collaboration, including data-sharing systems, multi-institutional agreements, and vendor and contract oversight.
She integrates perspectives from chemistry, biology, structural biology, AI/ML, and clinical research to advance candidates and inform trial design. She partners closely with principal investigators, industry, and funders to align priorities, streamline workflows, and ensure clear communication, supporting safe, effective, and accessible antimicrobials.
Mr. Gao is the Technical Lead for Data Science and AI in the PReDiCTR-TB Consortium at the University of California, San Francisco. He provides leadership in designing scalable infrastructure and building AI-powered tools to support high-impact biomedical research.
His work focuses on creating intelligent platforms that transform how researchers discover, manage, and analyze data, enabling streamlined, standardized, and automated workflows across multidisciplinary teams. Griffith specializes in AI/ML systems, large-scale data infrastructure, and architecting research automation platforms. He is passionate about leveraging generative AI, large language models (LLMs), and automated research workflows to accelerate scientific discovery and innovation.
His expertise aligns with the PReDiCTR-TB Consortium’s mission to advance promising tuberculosis (TB) treatment regimens through collaborative, data-driven approaches. In his role, Griffith leads technical initiatives that optimize research processes, enhance data accessibility, and empower teams to work smarter. He is committed to driving innovation in AI capabilities to support discoveries that improve human health and global health outcomes.
Mr. Shaffer is the Director of Research Strategy and Operations, bringing over 20 years of experience applying data-driven modeling, pharmacometrics, and decision analytics to advance global health and infectious disease interventions. He is a dedicated and experienced problem-solver, passionate about translating complex quantitative and qualitative data into actionable insight that supports value-driven, impact-based decision-making.
Across his career, Craig has built, led, and scaled high-impact analytic teams that integrate statistical modeling, decision science, and strategic forecasting to guide research prioritization and portfolio management. His work has informed treatment and prevention strategies across a broad global health portfolio, enabling stakeholders to assess risk, optimize resource allocation, and maximize public health impact.
In his role, Craig provides strategic and operational leadership at the intersection of research, analytics, and implementation. He partners closely with scientific, clinical, and operational teams to ensure that modeling and decision frameworks are aligned with real-world constraints and programmatic goals. His expertise strengthens evidence-based planning and helps drive innovative, sustainable solutions to complex infectious disease challenges.
Our Consortium Framework
Meet Our Scientists
Relationship with TB Alliance
The PReDiCTR-TB Consortium has established a strong relationship with TB Alliance, a not-for-profit product development partnership dedicated to TB regimen development. TB Alliance manages the largest pipeline of new TB drugs in history, and TB Alliance colleagues are scientific partners (and key personnel) in this consortium.

Collaboration in Action
Be a Partner with Us
We have secured commitments from other commercial and noncommercial partners, which include GSK, Janssen, Otsuka, Gates Medical Research Institute (GMRI), and Ludwig-Maximilians-Universität (LMU), that will expand our access to novel drug assets and data. Each of these sponsors has ongoing or recent collaborations with the Consortium’s scientific groups and/or with TB Alliance, but this landscape of collaborations is fragmented. Their participation in the PReDiCTR-TB Consortium will generate a unified framework to access the tools, experience, and expertise of the Consortium and coordinate research activities to fully realize the potential of their assets, while at the same time increasing the probability that the Consortium will deliver highly effective regimens to trialists and, in the process, define a critical path of key preclinical experiments and translational modeling methodologies for future regimen selection and optimization.
We have established key partnerships with major clinical trials networks that can advance the most promising regimens into clinical trials. These include ACTG, TBTC of the Centers for Disease Control (CDC), and IMPAACT. At the same time, we have collaborative partnerships with other consortia that have platform trials being built to test regimens for TB, namely UNITE4TB and PAN-TB, and their preclinical counterparts the European Regimen Accelerator for TB (ERA4TB) and TB Drug Accelerator (TBDA).


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