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.

Rick Calvo
Name Richard (Rick) Calvo
Role Clinical Research Epidemiologist
Focus Surgical Outcomes · Trauma · Acute Care
Teaching Public Health — Graduate Level
Location San Diego, California
01 — Researcher

Evidence-First

IRB-approved epidemiologic research with a focus on reproducible statistical methods and healthcare data.

02 — Educator

Committed to Teaching

University public health instruction grounded in applied methods, real data, and honest uncertainty.

03 — Builder

Solution-Oriented

I approach complex problems analytically — breaking them down, identifying what the evidence actually supports, and building tools that make findings usable for practitioners.

Epidemiologic & Analytic Approach

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.

Competing Risks Survival Analysis Multilevel Modeling Propensity Matching HCAI · NTDB · TQIP R · Stata RCT Design Machine Learning
Research Landscape

Traumatic Brain Injury

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.

Venous Thromboembolism

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.

Pediatric Surgery

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.

Trauma Systems & Health Economics

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.

Pre-existing Conditions & Geriatric Trauma

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.

Vascular Trauma & Hemorrhage Control

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.

Publication Timeline

Based on articles retrieved from PubMed · Richard Y. Calvo · Scripps Mercy Hospital

Statistical & Analytic
RExpert
StataExpert
Mixed-Effects ModelingExpert
PythonDeveloping
Education
Epidemiologic ConceptsExpert
Statistical ProgrammingAdvanced
Data ManagementExpert
Data VisualizationAdvanced
Research & Clinical
Study DesignExpert
IRB Protocol / PHI ComplianceExpert
Medical CodingAdvanced
Systematic Review / WritingExpert
Creation / Engineering
3D PrintingAdvanced
Laser Cutting / EngravingIntermediate
WoodworkingDeveloping
MicrocontrollersIntermediate

Homelab & Infrastructure

Self-hosted research infrastructure designed for PHI-sensitive workflows and reproducible analysis environments.

Primary WorkstationWSL2 Ubuntu 24.04, RStudio Server, Claude Code
SecurityUnifi Stack, segmented networks, VPN
DeploymentAnsible, Kubernetes, SBC nodes
VirtualizationHypervisor management, containerized services
Local LLMllama.cpp + Qwen — PHI-safe inference
MonitoringGrafana · Prometheus · Loki · Uptime Kuma

Software Ecosystem

RStata PythonR Shiny lme4ggplot2 Lightburnnodejs Azuretidyverse OpenCVAdobe Illustrator GitClaude Code Docker / PodmanPodman SketchupGrafana KritaLoki UbuntuFedora SQLSnowflake llama.cppREDCap
01
Active

Research Dashboards — Active Studies

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.

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Access restricted to authorized study collaborators

R ShinyShiny Server Mixed-Effects ModelsMachine Learning SVGAIS Coding IRB Protocol
02
Ongoing

PHI-Safe Research Infrastructure — Homelab Build

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.

Ansiblellama.cpp GrafanaPrometheus DockerPodman WSL2Linux
03
Teaching

Public Health Curriculum — University Instruction

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.

Data Analysis with R — Course Materials
github.com/core-academics/sdsu.ph700a
SDSUUCSD CREST Data Analysis with R Epidemiology I Applied Epidemiology Thesis & Dissertation Committees
04
Design

Web Design — Clinical & Academic Sites

Custom websites designed and built for clinical and academic contexts, with an emphasis on professional presentation, typographic clarity, and site performance.

Expert Witness Practice — M.J. Sise, MD
sise.clinical.icu
Scripps Mercy Trauma — Research & Education
mercytrauma.org
HTMLCSS JavaScriptWebstudio Caddy