About

Christopher Gardner is a professor at Stanford University within the Stanford Prevention Research Center, part of the School of Humanities and Sciences' Human Biology program. His research focuses on health and nutrition, contributing to the understanding of dietary impacts on health outcomes. Gardner's work is recognized for its emphasis on preventive health strategies and nutritional science, aiming to improve public health through evidence-based dietary interventions.

Research topics

• Medicine
• Environmental health
• Internal medicine
• Biology
• Economics
• Economic growth
• Immunology
• Political Science
• Social Science
• Gerontology
• Psychiatry
• Public economics
• Psychology
• Endocrinology
• Bioinformatics
• Pedagogy
• Ecology
• Medical education
• Genetics
• Business
• Nursing
• Demography
• Mathematics education
• Family medicine

Selected publications

• What Diet Trials Can and Can’t Tell Us – Mitigating Misinformation in Nutrition Science

  American Journal of Health Promotion · 2026-05-01

  article1st authorCorresponding
  PublisherDOI

• Generative Artificial Intelligence creates delicious, sustainable, and nutritious burgers

  Open MIND · 2026-02-03

  preprint

  Food choices shape both human and planetary health; yet, designing foods that are delicious, nutritious, and sustainable remains challenging. Here we show that generative artificial intelligence can learn the structure of the human palate directly from large-scale, human-generated recipe data to create novel foods within a structured design space. Using burgers as a model system, the generative AI rediscovers the classic Big Mac without explicit supervision and generates novel burgers optimized for deliciousness, sustainability, or nutrition. Compared to the Big Mac, its delicious burgers score the same or better in overall liking, flavor, and texture in a blinded sensory evaluation conducted in a restaurant setting with 101 participants; its mushroom burger achieves an environmental impact score more than an order of magnitude lower; and its bean burger attains nearly twice the nutritional score. Together, these results establish generative AI as a quantitative framework for learning human taste and navigating complex trade-offs in principled food design.

  DOI

• Food is Medicine: Implementation Considerations to Optimize Medically Tailored Meal Programs

  Circulation Population Health and Outcomes · 2026-04-01

  articleOpen accessSenior author
  PublisherOA PDFDOI

• Generative Artificial Intelligence creates delicious, sustainable, and nutritious burgers

  arXiv (Cornell University) · 2026-02-03

  articleOpen access

  Food choices shape both human and planetary health; yet, designing foods that are delicious, nutritious, and sustainable remains challenging. Here we show that generative artificial intelligence can learn the structure of the human palate directly from large-scale, human-generated recipe data to create novel foods within a structured design space. Using burgers as a model system, the generative AI rediscovers the classic Big Mac without explicit supervision and generates novel burgers optimized for deliciousness, sustainability, or nutrition. Compared to the Big Mac, its delicious burgers score the same or better in overall liking, flavor, and texture in a blinded sensory evaluation conducted in a restaurant setting with 101 participants; its mushroom burger achieves an environmental impact score more than an order of magnitude lower; and its bean burger attains nearly twice the nutritional score. Together, these results establish generative AI as a quantitative framework for learning human taste and navigating complex trade-offs in principled food design.

  PublisherOA PDF

• Study Flow for "Body Composition Changes after 6- and 12-months of Dietary Weight Loss: Insights from the DIETFITS Trial"

  Stanford Digital Repository · 2026-01-24 · 1 citations

  articleOpen accessSenior author

  Study Flow for "Body Composition Changes after 6- and 12-months of Dietary Weight Loss: Insights from the DIETFITS Trial"

  PublisherDOI

• Body composition changes after 6 and 12 months of dietary weight loss: insights from the DIETFITS trial

  Journal of the Endocrine Society · 2026-01-18

  articleOpen accessSenior author

  Abstract Context While popular weight-loss medications have raised concerns about lean mass loss, the normative effects of nonpharmacologic weight loss on body composition remain unclear. Objective We assessed how the extent of weight loss from dietary changes affects lean mass and bone mineral content (BMC) in women and men. Methods We conducted a secondary analysis of the DIETFITS trial (NCT01826591), a randomized controlled study with 609 adults (aged 18-50, body mass index [BMI] 28-40). Data from 323 participants (200 women, 123 men) who lost weight at 6 months and had dual-energy x-ray absorptiometry (DXA) assessments at baseline, 6 months, and 12 months were analyzed. Participants were stratified as follows: less than 5% (n = 102), 5% to 9% (n = 121), and 10% or more (n = 100). The primary outcome was the percentage of lean mass lost relative to total weight loss (%LML). Results Baseline mean BMI (33 kg/m2) was similar across weight-loss groups and sexes. Mean percentage weight loss was greatest at 6 months (2.9%, 7.3%, 14.6% in those losing <5%, 5%-9%, and ≥10%, respectively) and was similar between sexes. %LML varied widely with weight loss of less than 5% but plateaued with greater loss. Men had higher %LML than women when weight loss was 5% or greater (median [interquartile range], 33% [24-41] vs 28% [17-36]; P < .001). All groups, except for women losing 10% or more, significantly regained weight and fat mass at 12 months, while BMC continued to decline. Conclusion Contrary to our hypothesis, %LML plateaus with greater weight loss. Moreover, men experience greater %LML than women. The decline in BMC despite weight regain warrants further investigation.

  PublisherDOI

• Plant-Based vs. Omnivore diets for athletic performance outcomes among recreational athletes in university dining halls: a randomized crossover study

  Nutrition Journal · 2026-02-20

  articleOpen accessSenior author

  Some research suggests that transitioning from an omnivorous to a plant-based diet does not significantly change athletic performance for endurance or resistance athletes, implying comparability to animal-based diets for athletic goals. However, there is a relative paucity of these studies and widespread social media misinformation suggesting insufficient calorie, protein, and micronutrient intake of plant-based diets to meet the demands of athletic performance. This multi-site study, conducted in collaboration with the Menus of Change University Research Collaborative (MCURC), investigates the impact of plant-based diets in several university dining halls on athletic performance among recreational athletes. In this crossover study, recreational runners and resistance trainers were recruited from four universities: Stanford, Rutgers, Vanderbilt, and the University of Reading (n = 36; runners = 16, resistance trainers = 20). Participants were assigned to complete two 4-week diet interventions, Omnivore and Plant-based, in random order. Primary outcomes for runners (12-minute timed run) and resistance trainers (3-rep maximum test for chest press, lat pulldown, and leg press) were collected at baseline and after each diet. Paired t-tests and linear regression models were used to compare performance between diets. Mean differences between Omnivore and Plant-based diets in 12-minute timed run (− 36.2 m; 95% CI: -130.3 to 57.9 m; p = 0.08) and composite machine strength (− 4.9%; 95% CI: − 8.5 to 0.6%; p = 0.4) were not significant. Recreational runners and resistance trainers may be able to adopt a plant-based diet without significant changes in athletic performance. These findings can support universities in offering plant-based food options for recreational athletes in dining halls. This study was registered in ClinicalTrials.gov under registration number NCT06014307 on 08/23/2023.

  PublisherDOI

• Diet-based weight-loss intervention is not associated with a meaningful change in lean soft tissue

  American Journal of Clinical Nutrition · 2026-02-23

  articleOpen access

  BACKGROUND: An emerging concern is that weight-loss interventions can lead to disproportionate muscle loss. Few studies accurately quantify changes in lean soft tissue (LST) after weight loss or investigate associated molecular signatures. OBJECTIVES: The objectives of this study were to quantify LST change after a diet-based weight-loss intervention and identify protein biomarkers associated with LST retention. METHODS: Using the Diet Intervention Examining The Factors Interacting with Treatment Success cohort, we analyzed LST from dual-energy X-ray absorptiometry in three ways: 1) by body region (appendicular and total body), 2) after removing bias from fat-free adipose tissue (FFAT), and 3) relative to body size (percentage predicted LST). We also assessed 242 proteins measured in Olink Cardiovascular II, III, and Inflammation panels as predictors of LST change. RESULTS: ) who had been randomly assigned to healthy low-fat or low-carbohydrate diets were pooled and analyzed at baseline and 6 mo. Total mass changed by -5.9 kg (95% confidence interval [CI]: -6.51, -5.29) in females and -7.18 kg (95% CI: -8.2, -6.16) in males. Appendicular LST change was modest at -0.80 kg (95% CI: -0.92, -0.69) in females and -1.02 kg (95% CI: -1.22, -0.83) in males. Appendicular LST losses comprised <10% of total mass loss after adjusting for FFAT. Appendicular LST relative to body size also increased at 6 mo (P < 0.001). Changes in 10 proteins in females and 27 in males predicted LST change (5% false discovery rate), with protein delta homolog 1 (DLK1)-an inhibitor of adipogenesis-as the top predictor. CONCLUSIONS: Change in appendicular LST, a surrogate for skeletal muscle, was modest after 6 mo of diet-based weight loss. DLK1, an inhibitor of adipogenesis, emerged as the top protein biomarker linked to LST retention. This trial was registered at clinicaltrials.gov as NCT01826591.

  PublisherDOI

• International Conference on Nutrition in Medicine Proceedings 2025

  International Journal of Disease Reversal and Prevention · 2026-03-11

  article

  The 2025 International Conference on Nutrition in Medicine was held on August 14–16, in Washington, DC, and a subset of abstracts from nutrition research presented at this continuing medical education conference are summarized here. The conference opened with a presentation on emerging strategies to address hypercholesterolemia, including approaches for patients who have not responded to prior interventions. The conference also highlighted emerging evidence on cancer prevention and treatment, new findings related to weight-loss medications, and surprising insights into the health implications of processed foods. Additionally, updated research on the clinical benefits of vegan dietary patterns was reviewed. The program included presentations on the 2025–2030 Dietary Guidelines for Americans and the role of lifestyle interventions in influencing outcomes related to prostate cancer and Alzheimer’s disease. Additional topics addressed dietary supplements, omega-6 and omega-3 fatty acids, menopausal hormone therapy, the impact of nutrition on skin health, and other emerging areas in nutrition science.

  PublisherDOI

• Abstract MP36: Food and Nutrition Insecurity Impacts Cardiovascular Risk Factors Among Latina Women

  Circulation · 2025-03-11

  article

  Introduction: Nutrition security is an emerging concept that expands upon the definition of food security – consistent access to sufficient quantity and quality of food – to include prevention, management, and treatment of disease. There is limited evidence on how nutrition security is related to heart health, specifically in populations disproportionately impacted by cardiovascular disease risk, such as Latina women. Hypothesis: Latina women experiencing food and/or nutrition insecurity will have poorer indicators of Life’s Essential 8 compared to those with food and/or nutrition security. Methods: Vida Sana y Completa is randomized controlled trial of a multi-component Food is Medicine (FIM) intervention for Latina women with obesity (BMI&gt;30kg/m 2 ). This analysis uses survey data from baseline assessment (n=165). Food security status was assessed using the USDA 6-item screener and nutrition security status was assessed using the 4-item Nutrition Security Scale. Outcomes included vegetable and fruit intake, BMI, blood pressure (BP), and mental health. Within group differences by food and nutrition security status were performed using ANOVA with Fischer’s least significant difference and independent two-sample t-tests. Results: The majority (82%) reported food insecurity and approximately half (47%) reported nutrition insecurity. Women with very low or low food security consumed fewer vegetables compared to those with food security (1.7 vs. 2.1 vs. 3.0, respectively; p=0.02). Women with nutrition insecurity also consumed fewer servings of vegetables compared to participants with nutrition security (1.7 vs. 2.5; p=0.01). Systolic BP was higher among women with low food security, compared to participants with very low food security or participants with food security (p=0.01). Diastolic BP was higher for participants with low and very low food security compared to participants with food security (p=0.03). There was no difference in BP by nutrition security status. Participants with food and nutrition insecurity had more symptoms of depression and anxiety compared to participants with food and nutrition security(p&lt;0.05). There were no differences in daily servings of fruit or BMI by food and/or nutrition security status. Conclusion: Latina women with food and/or nutrition insecurity are at increased risk for cardiovascular disease. FIM interventions may effectively address food and/or nutrition insecurity, as well as Life’s Essential 8, to improve heart health.

  PublisherDOI

Recent grants

• NIH Grant R21AT003245

  NIH · $615k · 2009

• Do Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets?

  NIH · $3.1M · 2012–2018

• NIH Grant R01AT000486

  NIH · $1.5M · 2006

• NIH Grant M01RR000070

  NIH · $27.1M · 2011

• Designing Food Voucher Programs to Reduce Disparities in Healthy Diets

  NIH · $3.3M · 2016–2022

Frequent coauthors

• Jennifer J. Otten

  University of Washington

  41 shared

• Eric B. Hekler

  University of California, San Diego

  40 shared

• Matthew P. Buman

  Arizona State University

  38 shared

• Kelly C. Allison

  University of Pennsylvania

  36 shared

• Amanda Buddak

  University of North Carolina at Chapel Hill

  36 shared

• Takeshi Yoneshiro

  The University of Tokyo

  36 shared

• Karl Byrne

  Glasgow Science Centre

  36 shared

• Charles E. Kahn

  University of Pennsylvania

  36 shared

Education

• Ph.D., Human Biology

  Stanford University

  1990

• M.S., Human Biology

  Stanford University

  1986

• B.A., Human Biology

  University of California, Berkeley

  1983