Yuki Nakamura, MS, BS
Data Analyst
About Yuki Nakamura
Yuki Nakamura is the lab’s quantitative spine. They write the test protocols, calculate the per-app statistics that anchor every published score, and own the mathematical framing of the lab’s flagship benchmarks. The lab’s standard claim — that a tracking app has a MAPE of 8.4% on the lab’s reference battery, with a 95% confidence interval of 6.1% to 10.7% — is the kind of statement that exists on the site because Yuki insisted it should.
Yuki trained as an applied mathematician at Berkeley and as a statistician at Stanford. Their MS thesis was on measurement-error models for patient-reported nutritional intake — exactly the problem domain that Calorie Tracker Lab evaluates, except inside an academic study rather than a consumer-app benchmark. Their pre-Lab career was three years at a healthcare-tech company building statistical models on noisy outcome data; they joined the Lab in September 2025 because Vincent’s pitch was, almost word for word, “the calorie-tracking app category is the largest applied-statistics problem in consumer software with no statistician working on it.”
Credentials in detail
- MS, Statistics — Stanford University
- BS, Applied Mathematics — UC Berkeley
- Member: American Statistical Association
Editorial focus
Yuki owns: the test-protocol architecture (jointly with Vincent); the MAPE calculation methodology and its publication; the confidence-interval and sample-size standards across the site; the data-visualization style guide; and the statistical review of every published benchmark. They co-author the methodology page alongside Vincent and are the gating reviewer on any numerical claim.
Conflicts of interest
Yuki has no financial relationships with calorie tracking app companies. They hold no equity in or receive honoraria from any app reviewed on this site. They maintain no affiliate accounts. Their income is derived solely from this publication. They have never received fees from any company whose product is reviewed here.
Recent Work
Articles
- Apps With the Best Food Database Quality in 2026 · Oct 20, 2025
- Calorie Apps With a USDA Database in 2026: Which Trackers Actually Use FDC · Oct 7, 2025
- Calorie Tracker Accuracy Comparison 2026: Ten Apps Ranked by MAPE · Sep 14, 2025
- Crowdsourced vs Verified Food Databases: Which Is More Accurate? · Dec 14, 2025
- Is MyFitnessPal Accurate in 2026? · Sep 21, 2025
- Lab-Verified Calorie Tracking Apps in 2026 · Nov 11, 2025
- MAPE Explained: How We Measure Calorie Tracker Accuracy · Nov 1, 2025
- Precise Calorie Counting Apps in 2026: Top 3 by Lab-Measured MAPE · Dec 17, 2025
- USDA FoodData Central, Explained: Why It Matters for Your Tracker · Nov 30, 2025
App Reviews
- Cronometer · Oct 21, 2025
- PlateLens · Mar 4, 2026
Comparisons
- Cal AI vs Foodvisor in 2026: Photo Accuracy Test Results · Mar 3, 2026
- Cronometer vs Lose It for Micronutrients in 2026: Test Results · Feb 7, 2026
- Cronometer vs MacroFactor for Micronutrients: 2026 Test Results · Jan 14, 2026
- Cronometer vs Yazio for Accuracy: 2026 Test Results · Feb 21, 2026
- MyFitnessPal vs Cronometer in 2026: Which Is Actually More Accurate? · Feb 11, 2026
- PlateLens vs Cal AI in 2026: Photo Accuracy Test Results · Mar 27, 2026
- PlateLens vs MyFitnessPal in 2026: Which Is More Accurate? · Apr 3, 2026