I address complex health topics and devise tools to clarify them. I teach the next generation to do both.
I'm a research epidemiologist and public health educator with a focus on surgical outcomes in traumatically injured populations — specifically the patterns, predictors, and prevention of adverse outcomes.
My work sits at the intersection of statistics, medicine, and education. I design studies, build statistical models, and translate findings into tools that clinicians and researchers can actually use. Critical assessment of the practical applications of my work is central to how I approach problems -- whether that means interrogating a dataset, challenging an assumption, or devising a novel solution to a question that others have treated as settled.
I believe good research should be reproducible, clearly communicated, and built on rigorous methods — without losing sight of the patients those methods ultimately serve.
Open to research collaborations, consulting engagements, and curriculum development.
IRB-approved epidemiologic research with a focus on reproducible statistical methods and healthcare data.
University public health instruction grounded in applied methods, real data, and honest uncertainty.
I approach complex problems analytically — breaking them down, identifying what the evidence actually supports, and building tools that make findings usable for practitioners.
Population-based epidemiology of trauma, surgical outcomes, and health systems performance — spanning TBI, vascular injury, VTE, pediatric trauma, and beyond.
My work evaluates data at all levels, including single-center evaluation to large administrative databases. Large-scale data include the California HCAI patient discharge database, the ACS Trauma Quality Improvement Program, and AHRQ HCUP sources. I have significant experience in applying epidemiologic principles for the design of observational studies and randomized trials at single- and multi-institutional settings. My emphasis is always to develop the most appropriate and rigorous study and the selection of appropriate methods to address any question.
Analytic methods across my published work include competing risks survival analysis, Cox proportional hazards modeling, multilevel logistic regression, propensity score matching, Poisson regression for trend analysis, and machine learning clustering approaches. R and Stata serve as my primary platforms. A consistent thread across projects is translating epidemiologic findings into actionable clinical and systems-level recommendations.
Management and outcomes of TBI across the severity spectrum — including anticoagulation effects, ICP monitoring versus ventriculostomy, mild TBI triage, and pediatric-specific considerations. Emphasis on identifying modifiable risk factors and right-sizing resource utilization.
Prophylaxis, risk stratification, and outcomes for post-traumatic DVT and PE. Published work includes randomized trials, competing risks analyses, and evaluations of anticoagulant agents, plasma resuscitation, cannabis, and aspirin as modifiers of VTE risk.
Epidemiology and outcomes of extremity vascular injury, penetrating thoracic trauma, and surgical complications in children. Emphasis on the role of trauma center designation, case volume, and system-level factors in driving variability in outcomes.
Financial vulnerability of trauma centers, true cost of trauma care, fragmentation of care after discharge, and the impact of organizational structure on quality. Used large statewide and national administrative datasets to identify system-level opportunities for improvement.
Comorbidity burden as a driver of trauma outcomes — including novel risk-scoring approaches, the role of anticoagulants and antiplatelets in older injured patients, sarcopenia as a mortality predictor, and substance use in aging trauma populations.
Peripheral and thoracic vascular injury management, REBOA and partial REBOA physiology, and limb salvage outcomes. Collaborative work spanning single-institution registries, multicenter studies, and swine hemorrhagic shock models.
Based on articles retrieved from PubMed · Richard Y. Calvo · Scripps Mercy Hospital
Statistical, computational, and infrastructure capabilities — acquired through research, teaching, and building.
Self-hosted research infrastructure designed for PHI-sensitive workflows and reproducible analysis environments.
Research tools, statistical applications, and infrastructure built across clinical and academic contexts.
A collection of interactive Shiny dashboards supporting ongoing IRB-approved studies in pediatric trauma, neurocritical care, and vascular surgery. Each dashboard is built for study collaborators and supports real-time data exploration, statistical model outputs, and injury phenotype classification. Underlying analyses span mixed-effects probit regression, recursive partitioning, and annotated anatomical SVG visualization.
Access restricted to authorized study collaborators
Self-hosted infrastructure designed to support research workflows involving sensitive clinical data. Key design decisions: local LLM inference via llama.cpp and a Qwen model for PHI-safe AI-assisted analysis; Claude Code on WSL2 for de-identified work; Ansible-managed baseline hardening across a heterogeneous Linux cluster.
Monitoring stack includes Grafana, Prometheus, Loki, and Uptime Kuma for unified observability across Ubuntu, Fedora, and AlmaLinux nodes with mixed Docker/Podman runtimes.
Faculty instructor at two institutions: the San Diego State University Graduate School of Public Health and the UC San Diego School of Medicine Clinical Research Enhancement through Supplemental Training (CREST) Program.
At SDSU, I teach Data Analysis with R — a graduate-level course covering data wrangling, visualization, and statistical modeling in R. At UCSD CREST, I teach Epidemiology I and Applied Epidemiology, covering study design, causal inference, and the application of epidemiologic methods to clinical research questions. I also serve on thesis and dissertation committees at both campuses.
Custom websites designed and built for clinical and academic contexts, with an emphasis on professional presentation, typographic clarity, and site performance.