Axiom

VITAE is the governed identity directory.

Constraints

MUST:     Every USER VITAE is evidence-backed
MUST:     Portable across ORGs
MUST NOT: Store secrets in VITAE

privacy: PUBLIC

COVERAGE: 255/255

SPEC

Identity

Orgs

GitHub Organizations (Active)

• canonic-canonic (founder, 2026) — GOV repo
• canonic-foundation (founder, 2026)
• canonic-magic (founder, 2026)
• canonic-learning (founder, 2026)
• canonic-apps (founder, 2026)
• canonic-sectors (founder, 2026)
• hadleylab-canonic (founder, 2026)
• runner-canonic (RunnerMVP, 2026)
• hadleylab (founder, 2018)
• hadleylab-skin (founder, 2018)
• MammoChat (founder, 2024)

Institutional Positions (Current)

• CANONIC Foundation — Founder & Governor General (2026-present)
• American Board of Precision Medicine (ABOPM) — Director of AI (2024-present)

Institutional Positions (Former)

• University of Central Florida, College of Medicine — Associate Professor of Pathology (2019-2025)
• University of California, San Francisco — Assistant Professor, Pediatrics + Pathology (2015-2019)
• Stanford University — Engineering Research Associate, Butte Lab (2013-2015)
• Children’s Hospital of Philadelphia — Lead Clinical Genomics Analyst (2010-2012)
• University of Pennsylvania — MD/PhD (1999-2009)

EPOCHS

EPOCH 0: ACADEMIA (1989-2013)

EPOCH 1: GENESIS (2013)

EPOCH 2: STAR PROJECT (2015)

EPOCH 3: FEDERATED LEARNING + HADLEYLAB (2018)

EPOCH 4: COVID + HEALTHCARE (2020)

EPOCH 5: UCF + MEDBRAIN (2022-2023)

EPOCH 6: MAMMOCHAT + AI (2025)

EPOCH 7: CANONIC (2026)

BedaSoftware Team — Full Cross-Reference

PRINCIPALS (CANONIC):
├── ir4y (Ilya Beda)          Founder & CTO, 1,174+ commits across Hadley projects
│   Org member: HadleyLab, hadleylab-skin, beda-software
│   Location: Sydney, Australia | Language: Russian
│   Projects: ALL (STARGEO→SkinIQ→DrMoonlight→CheckMed→HitchaRide→UCFWealth→DCM→MammoChat)
│   Open source: fhir-py (207★), fhir-emr (115★), drf-writable-nested (1.1k★)
│
├── yanabeda (Yana Beda)      Founder & CEO, 94+ commits across Hadley projects
│   Org member: HadleyLab, beda-software
│   Location: Australia | Language: Russian
│   Projects: SkinIQ, DrMoonlight, CheckMed, HitchaRide, UCFWealth
│
TEAM (beda-software org members + associates):
├── Suor (Alexander Schepanovski)  1,362+ commits — STARGEO architect
│   Author: funcy, django-cacheops (core beda-software dependencies)
│   hackflow.com
│
├── vesnushka (Elena Tretyakova)   420+ commits
│   Projects: SkinIQ, DrMoonlight, UCFWealth, HitchaRide
│
├── ruscoder (Vadim Laletin)       237+ commits
│   Location: Montenegro | beda.software
│   Projects: DrMoonlight, SkinIQ, CheckMed, HitchaRide
│
├── projkov (Pavel Rozhkov)        197+ commits
│   Location: Montenegro | @beda-software
│   Projects: CheckMed, SkinIQ, HitchaRide, UCFWealth
│
├── dymio                          101 commits
│   beda-software org member | Projects: CheckMed
│
├── dmitryashutov (Shutov Dmitry)  41 commits
│   Location: Montenegro | @beda-software | Projects: STARGEO (2023)
│
├── atuonufure                     27 commits
│   beda-software org member | Projects: UCFWealth-aidbox, DCM-to-PNG
│
├── hypnocapybara (Alex Polev)     2 commits
│   Formerly beda, now Fellow.app | Projects: SkinIQ, HitchaRide
│
├── mlaletina95 (Marina Laletina)  4 commits
│   Location: Montenegro | Projects: UCFWealth
│
└── abbirdboy (Abhishek Bhattacharya) 2 commits
    Translational Medicine/ML, NYC
    Org member: hadleylab-skin | Projects: SkinIQ

TOTAL: 3,648+ commits from BedaSoftware-affiliated contributors (2015–2025)

BedaSoftware Company Intel

Company      BedaSoftware — beda.software
Founded      Ilya Beda (CTO) + Yana Beda (CEO)
HQ           Australia (Sydney)
Expansion    Dubai — startup operation
GitHub       beda-software (188+ repos, 10+ developers, 62 followers)
Clients      UCSF, UCF, Health Samurai, Prenosis, Thoropass, FHIR Business Alliance
Deployed     USA, Canada, New Zealand, Israel, Germany, Switzerland
NZ Project   Kiyara Health — practice management MVP (FHIR, SNOMED CT, React Native)
HL7          FHIR experts, SDC IG contributors, FHIRBall member
Open Source  fhir-py (207★), fhir-emr (115★), drf-writable-nested (1.1k★), fhirpath-py (73★)
Language     Russian (cross-idiom governance cross-idiom dimension)

Collaborators

Publications

Verification Sources (cross-dimensional, audited 2026-03-14)

Reconciliation: Google Scholar (148 raw, 126 unique after dedup) is the most complete single source. ResearchGate shows 167 but includes co-author duplicates. NCBI My Bibliography (49) is a curated subset. Semantic Scholar (95) is intermediate. ORCID is incomplete.

Governed count: 67 journal articles with PMIDs or DOIs (P-1 through P-68; 68 BIBLIOGRAPHY entries including 1 DOI-only), 52 conference abstracts, 3 book chapters, 6 patent families (23 filings), 16 datasets, 3 preprints, 4 clinical trials, 1 PhD dissertation. All anchored to source URLs below. [I-1]

Journal Articles (61)

EPOCH 0: PhD Thesis + Genomics (2006-2012)

1. Hadley, D., et al. Patterns of sequence conservation in presynaptic neural genes. Genome Biol 7 (2006). PMID: 17096848 [P-1]
2. Wang, K., Hadley, D., et al. PennCNV: an integrated HMM for high-resolution CNV detection. Genome Res 17 (2007). PMID: 17921354 [P-2]
3. Bucan, M., Hadley, D., et al. Exonic CNVs point to novel autism susceptibility genes. PLoS Genet 5 (2009). PMID: 19557195 [P-3]
4. Hadley, D., et al. Analysis of six genetic risk factors for AMD at ARMS2/HTRA1. Invest Ophthalmol Vis Sci 51 (2010). PMID: 19933195 [P-33]
5. Chen, W., Hadley, D., et al. TIMP3 and HDL-associated loci influence AMD susceptibility. Proc Natl Acad Sci 107 (2010). PMID: 20385819 [P-4]
6. Elia, J., Hadley, D., et al. mGluR gene networks in ADHD. Nat Genet 44 (2011). PMID: 22138692 [P-5]
7. Orlin, A., Hadley, D., et al. AMD disease loci and anti-VEGF response. Retina 32 (2012). PMID: 21878851 [P-34]
8. Sanna-Cherchi, S., Hadley, D., et al. CNV disorders in congenital kidney malformations. Am J Hum Genet 91 (2012). PMID: 23159250 [P-6]
9. Taal, H.R., Hadley, D., et al. Common variants at 6q22 and 17q21 associated with intracranial volume. Nat Genet 44 (2012). PMID: 22504419 [P-35]
10. Taal, H.R., Hadley, D., et al. Common variants at 12q15 and 12q24 associated with infant head circumference. Nat Genet 44 (2012). PMID: 22504418 [P-36]
11. Bradfield, J.P., Hadley, D., et al. Genome-wide association meta-analysis identifies new childhood obesity loci. Nat Genet 44 (2012). PMID: 22484627 [P-37]

EPOCH 1-2: STARGEO + Open Data (2013-2016)

1. Matsunami, N., Hadley, D., et al. Rare recurrent CNVs in high-risk autism families. PLoS One 8 (2013). PMID: 23341896 [P-7]
2. Cousminer, D.L., Hadley, D., et al. Pubertal height growth, pubertal timing and childhood adiposity. Hum Mol Genet 22 (2013). PMID: 23449627 [P-40]
3. Sleiman, P., Hadley, D., et al. TSNARE1 as a novel schizophrenia/bipolar locus. Sci Rep 3 (2013). PMID: 24166486 [P-38]
4. Sim, X., Hadley, D., et al. Genetic loci for retinal arteriolar microcirculation. PLoS One 8 (2013). PMID: 24386095 [P-39]
5. Matsunami, N., Hadley, D., et al. Rare DNA sequence variants in high-risk autism families. Mol Autism 5 (2014). PMID: 24467814 [P-41]
6. Cousminer, D.L., Hadley, D., et al. Sexual maturation GWAS highlights body mass and menarche loci in male puberty. Hum Mol Genet 23 (2014). PMID: 24770850 [P-42]
7. Hadley, D., et al. The impact of mGluR and gene family interaction networks on autism. Nat Commun 5 (2014). PMID: 24927284 [P-8]
8. Waggoner, J.J., Hadley, D., et al. Dengue virus detection in Trinidad and Tobago. Diagn Microbiol Infect Dis 81 (2015). PMID: 25533614 [P-10]
9. Chen, B., Hadley, D., et al. Relating HCC tumor samples and cell lines via gene expression. BMC Med Genomics 8 (2015). PMID: 26043652 [P-9]
10. Nelson, C.P., Hadley, D., et al. Relating chemical structure to cellular response across 11,000 compounds. CPT Pharmacometrics Syst Pharmacol 4 (2015). PMID: 26225256 [P-43]
11. Desai, A., Hadley, D., et al. Ehlers-Danlos variant via pediatric biorepository. BMC Musculoskelet Disord 17 (2016). PMID: 26879370 [P-11]
12. Brown, A.S., Hadley, D., et al. Integrating clinical phenotype and gene expression for drug repurposing. CPT Pharmacometrics Syst Pharmacol 5 (2016). PMID: 27457816 [P-44]

EPOCH 3: Deep Learning + STARGEO Platform (2017-2018)

1. Boraska, V., Hadley, D., et al. Anorexia nervosa risk and body mass index variation. Mol Psychiatry 22 (2017). PMID: 27184124 [P-45]
2. Hoffman, J.D., Hadley, D., et al. Breast cancer cis-eQTL trans-ethnic meta-analysis. PLoS Genet 13 (2017). PMID: 28362817 [P-17]
3. Bhattacharya, A., Hadley, D., et al. Precision diagnosis of melanoma from digital images. AMIA Jt Summits (2017). PMID: 28815132 [P-15]
4. Chalkia, D., Hadley, D., et al. Mitochondrial DNA haplogroups and autism. JAMA Psychiatry 74 (2017). PMID: 28832883 [P-16]
5. Hadley, D., et al. Precision annotation of digital samples in GEO (STARGEO). Sci Data 4 (2017). PMID: 28925997 [P-12]
6. Himmelstein, D.S., Hadley, D., et al. Systematic integration of biomedical knowledge (hetionet). Elife 6 (2017). PMID: 28936969 [P-14]
7. Glessner, J.T., Hadley, D., et al. CNV duplication at 9p24 in neurodevelopmental disorders. Genome Med 9 (2017). PMID: 29191242 [P-13]
8. Rappoport, N., Hadley, D., et al. Spontaneous preterm birth GWAS. Sci Rep 8 (2018). PMID: 29317701 [P-24]
9. Kido, T., Hadley, D., et al. Are minor alleles more likely to be risk alleles? BMC Med Genomics 11 (2018). PMID: 29351777 [P-46]
10. Shaikh, F., Hadley, D., et al. Translational radiomics Part 2. J Am Coll Radiol 15 (2018). PMID: 29366598 [P-19]
11. Shaikh, F., Hadley, D., et al. Translational radiomics Part 1. J Am Coll Radiol 15 (2018). PMID: 29366600 [P-18]
12. Panahiazar, M., Hadley, D., et al. Large scale advanced data analytics on skin conditions from genotype to phenotype. Informatics 5(4):39 (2018). DOI: 10.3390/informatics5040039 [P-68]
13. Trivedi, H.M., Hadley, D., et al. Semi-automated labeling for deep learning. J Digit Imaging 32 (2019). PMID: 30128778 [P-20]
14. Ding, Y., Hadley, D., et al. Alzheimer’s PET deep learning. Radiology 290 (2019). PMID: 30398430 [P-22]
15. Lituiev, D.S., Hadley, D., et al. Mammography DICOM view labeling. J Digit Imaging 32 (2019). PMID: 30465142 [P-21]
16. Wong, A., Hadley, D. Delirium prediction via ML. JAMA Netw Open 1 (2018). PMID: 30646095 [P-23]

EPOCH 4-5: COVID + Clinical AI (2019-2023)

1. Middeldorp, C.M., Hadley, D., et al. EGG and EAGLE consortia. Eur J Epidemiol 34 (2019). PMID: 30887376 [P-47]
2. Hadley, D., et al. Schizophrenia diagnosis trajectories. Sci Data 6 (2019). PMID: 31615985 [P-25]
3. Hadley, D., et al. Rare CNVs in 100K+ European subjects. Nat Commun 11 (2020). PMID: 31937769 [P-26]
4. Cyrus, E., Hadley, D., et al. Cannabis use and adolescent cognitive functioning. Curr Opin Psychol 38 (2021). PMID: 32818908 [P-48]
5. Aljabban, J., Hadley, D., et al. Investigating dermatomyositis pathogenesis via meta-analysis. Heliyon 6 (2020). PMID: 33015383 [P-49]
6. Hasan, L.K., Hadley, D., et al. Genetic correlates of osteoporosis pathogenesis. J Rheumatol 48 (2021). PMID: 33262303 [P-50]
7. Hadley, D., et al. COVID-19 impact on African American communities. Health Equity 4 (2020). PMID: 33269331 [P-27]
8. Rohr, M., Hadley, D., et al. Bile acid receptors in gastric cancer. Clin Transl Gastroenterol 12 (2021). PMID: 33492921 [P-51]
9. Rohr, M., Hadley, D., et al. Colorectal neoplasm transcriptional profiling. Sci Data 8 (2021). PMID: 34381057 [P-52]
10. Hadley, D., et al. Liver allograft utilization via ML. Transplant Direct 7 (2021). PMID: 34604507 [P-28]
11. Allen, D.Z., Hadley, D., et al. LPS-induced tissue injury in nasopharyngeal carcinoma. PLoS One 16 (2021). PMID: 34648530 [P-53]
12. Hadley, D., et al. Breast cancer AI: clinical decision support. Clin Exp Metastasis 39 (2022). PMID: 34697751 [P-30]
13. Bishara, A., Hadley, D., et al. Opal: ML clinical decision support in anesthesia. J Clin Monit Comput 36 (2022). PMID: 34837585 [P-54]
14. Panahiazar, M., Hadley, D., et al. Ontology for cardiothoracic surgical education. Stud Health Technol Inform 294 (2022). PMID: 35612107 [P-55]
15. Panahiazar, M., Hadley, D., et al. Racial diversities in cardiovascular diagnosis. Stud Health Technol Inform 294 (2022). PMID: 35612140 [P-56]
16. Hadley, D., et al. Prediction of healthcare expenses from chest radiographs. Sci Rep 12 (2022). PMID: 35585177 [P-29]
17. Panahiazar, M., Hadley, D., et al. Coronary artery disease in younger women. Stud Health Technol Inform 290 (2022). PMID: 35673215 [P-57]
18. Aljabban, J., Hadley, D., et al. Hepatitis C viral oncogenesis. Hepatol Forum 1 (2020). PMID: 35949665 [P-58]
19. Aljabban, J., Hadley, D., et al. Non-alcoholic fatty liver disease transcriptome. World J Hepatol 14 (2022). PMID: 36158924 [P-59]
20. Aljabban, J., Hadley, D., et al. Hepatitis B virus HCC mechanisms. World J Gastrointest Oncol 14 (2022). PMID: 36187396 [P-60]
21. Aljabban, J., Hadley, D., et al. Crohn disease predilection via crowd-sourced bioinformatics. J Pathol Inform 13 (2022). PMID: 36268056 [P-61]
22. Panahiazar, M., Hadley, D., et al. Gender-based time discrepancy in CAD diagnosis. Front Cardiovasc Med 9 (2022). PMID: 36505372 [P-63]
23. Arora, A., Hadley, D., et al. Predictive models for spine surgery outcomes. Spine 48 (2023). PMID: 36398784 [P-62]
24. Aljabban, J., Hadley, D., et al. MGUS progression to multiple myeloma. Heliyon 9 (2023). PMID: 37539132 [P-64]
25. Voskamp, S.M., Hadley, D., et al. Differential gene expression in tetralogy of Fallot. Birth Defects Res 116 (2024). PMID: 38146097 [P-65]

EPOCH 6-7: MammoChat + CANONIC (2025-2026)

1. Hadley, D., et al. As-needed BP medication and adverse outcomes. JAMA Intern Med (2025). PMID: 39585709 [P-32]
2. Hadley, D., et al. Fourier Transform MIL for WSI classification. J Med Imaging 12 (2025). PMID: 41132861 [P-31]
3. Hossain, M.S.B., Hadley, D., et al. Knowledge transfer-driven estimation of knee moments from smartphone videos. PLoS One 20 (2025). PMID: 41202113 [P-66]
4. Fritsche, O., Hadley, D., et al. ULTRA-MoCap: multimodal IMU and sEMG dataset. Sci Data (2026). PMID: 41792136 [P-67]

Conference Abstracts (52)

Book Chapters (3)

1. The Role of Natural Language Processing in Intelligence-Based Medicine. In AI in Clinical Medicine: A Practical Guide (2023).
2. How COVID-19 Catalyzed Community-Driven AI in the Metaverse of Medical Data. In Leveraging Technology as a Response to COVID (2022).
3. How Big Data Analytics is Changing the Face of Precision Medicine in Women’s Health. In Big Data in Psychiatry & Neurology (2021).

Datasets (16)

UCF-MultiOrgan-Path: A Public Benchmark Dataset of Histopathologic Images for Deep Learning (2024, medRxiv preprint + 14 organ-specific patch datasets on Google Scholar: Spleen, Brain, Heart, Skin, Lymph Node, Thyroid, Breast, Pancreas, Bladder, Kidney, Liver, Lung, Colon, Adrenal, Prostate, WSI Batch 34). Histology License (2024).

PhD Dissertation

Hadley, D. Genome-scale annotation of genetic factors underlying neurotransmission and neuropsychiatric disease. University of Pennsylvania (2007).

Stats

Lineage

Fatima College (1989) → BASIC on TANDY TRS-80
                          ↓
Fatima College (1994) → PowerStat (tropical disease GUI)
                          ↓
Yale (1998) → Tamborlane lab (Type 1 diabetes)
                          ↓
New College (1999) → Diabetes insulin dosing expert system (CLIPS)
                          ↓
PhD Thesis (2007) → GenomicPython
                          ↓
Stanford (2013) → GitHub Genesis
                          ↓
UCSF (2015) → STARGEO.org
                          ↓
HadleyLab (2018) → Federated Learning
                          ↓
UCF (2019) → Clinical AI
                          ↓
CANONIC (2026) → 255-bit Governance

GRANTS (PI)

Total PI Funding: $38M+ (includes BACPAC REACH consortium + bitcoin appreciation) [I-1]

NIH Grant Numbers (Verifiable)

UH2CA203792   NIH/NCI    STARGEO         $634K
U01LM012675   NIH/NLM    CrADLe          $1.6M
U19AR076737   NIH/NIAMS  BACPAC REACH    $30M (consortium total)

BACPAC Context

U19-AR076737 — UCSF REACH

• Role: Informatics Core PI (Dexter D. Hadley)
• Parent: NIH HEAL Initiative BACPAC Research Program
• UCSF REACH Total: $30M (3 of 14 BACPAC grants)
• Full BACPAC Consortium: $150M+ across 14 grants
• PI: Jeffrey Lotz (Overall); Hadley (Informatics Core)
• 6 Cores: Administrative, Clinical, Informatics, Bio-behavioral, Pathophysiology, Physical Function

GRANTS (Co-I)

CLINICAL TRIALS (PI)

Note: NCT07214883 PI is Jane Gibson (UCF). Dexter founded the platform and secured the $2M FDOH grant [I-16]. Trial continues on CANONIC infrastructure after separation.

SALARY (PUBLIC RECORD)

UCSF (2015-2019) — California Public Payroll

UCSF Total (5 years): ~$680K

UCF (2019-2025) — Florida Has A Right To Know

UCF Estimated (6 years): ~$850K+

Stanford (2013-2015) — PRIVATE

No public records (private institution). Publications ledger Stanford work.

CAREER EARNINGS SUMMARY

TALKS (2026)

Talk Contacts

Bamberg Health — Co-Panelists

Conference Inquiries

Correspondence — LinkedIn (LEDGERED)

2026-02-06   Gaby Flores Fortmann (Bamberg Health)
             Dexter: iDrDex@mammochat.com, hotel?
             Gaby: Hotel covered (Kimpton EPIC Apr 29-30)
             Dexter: "Excellent. I'll spend the night. Please email confirmation"
             Gaby: "I sent you an email with details but didn't hear back"
2026-02-05   Jorge Campana (startup founder, women's health)
             Jorge: "I see what you're doing... women's health-heavy...
             Are you already live?" [UNANSWERED — MammoChat interest]
2026-02-05   Glynis Moore (IBM recruiter)
             Subject: "Confidential C-Suite Leadership Opportunity with IBM"
             Dexter: "I would like to learn more" [AWAITING REPLY]
2026-02-05   Adriana Mota (rare disease pharma consultant)
             Dexter: "Thanks for reaching out. I'd like to learn more" [AWAITING REPLY]
2026-02-05   mukesh sharma (InMail)
             Subject: "Director, Translational Pathology — Fully Remote" [UNANSWERED]
2026-01-28   Gaby Flores Fortmann — logistics check-in, flight/hotel for Apr 30
2026-01-16   Kyle R. Nianga — voice message [UNLISTENED]
2026-01-13   Jon Stine (ex-Linux Foundation / Open Voice Network)
             Jon: Left LF end 2023. Deborah Dahl also left.
             She continues interoperability standards work. "Reach out to her."
2026-01-07   Winston Le — "Congrats on your 1 year anniversary at ABPM"
2025-12-09   Gaby Flores Fortmann — speaker form for FL Healthcare Innovation Summit
             Co-panelist: Dr. Peter Chang (SVP, Tampa General Hospital)
             Dexter: "on a speaking tour. Currently in Malta"

LinkedIn: 36+ messages total, last: 2026-02-06 SOURCES: EMAIL + LINKEDIN + CALENDAR (3-service triangulation)

AIMed26 — Cross-Axiomatic Intel (LEDGERED Feb 19, 2026)

EVENT        AIMed26 — Renaissance Orlando at SeaWorld, Nov 10-13, 2026
SPONSOR      AdventHealth (Rob Purinton = Chief AI Officer)
PARTNERS     AWS, Bayer, Elsevier, FPT, Kaiser Permanente, Frost & Sullivan
DEADLINE     Early bird: Feb 28, 2026 (9 days)
FEATURES     Shark Tank | Abstract Competition | Champion Awards | PedsAI Track

FOUNDER      Anthony Chang, MD, MBA, MPH, MS — CHOC CIIO, AIMed/MI10/ABAIM founder
             Keynoted UCF AIMS 2024 for Dexter
             "We can partner in the medical legal domain" (Feb 19 iMessage)
             Lunch scheduled: March 3, 12-2pm, Laguna Beach
             STATUS: ONBOARD

PROMOTER     Harry P. Pappas — IHA founder/CEO, WHWS founder
             Put Dexter on stage: Dubai + Malta
             ABC book co-author (Metcalf, HADLEY, Hooper, Pappas, Dhillon)
             WHWS (Women's Health) ↔ MAMMOCHAT (breast cancer AI) = CONVERGENCE
             STATUS: IN-PERSON TODAY

BRIDGE       David Metcalf, PhD — UCF METL Lab Director
             AIMed25 Entrepreneur of the Year
             ABC book co-author
             "Anthony and Rebecca are watching for submission of MammoChat"
             "Harry is aware of your situation"
             STATUS: ACTIVE ADVOCATE

OPS          Rebecca Wiedemer — MI10 Project Manager
             Golden Grove Global — brand, ops, digital comms
             Watching for MammoChat submission

GRAPH:
             CHANG (AIMed founder) ←── keynoted for ───→ DEXTER
               │                                           │
            working with                              co-authored
               │                                           │
             PAPPAS (IHA/WHWS) ←── stage: Dubai/Malta ──→ DEXTER
               │                                           │
            ABC book ←────── Metcalf + Hadley + Pappas ──→ DEXTER
               │                                           │
             WHWS (FemTech) ←── breast cancer AI ────────→ MAMMOCHAT
               │
             AIMed26 Orlando = HOME TURF

PLAY:
  1. AIMed26 Shark Tank — submit MammoChat/CANONIC (Chang = founder, Orlando = home)
  2. WHWS pipeline — Pappas's women's health org → MammoChat = direct fit
  3. AdventHealth sponsorship — headline + compliance play + MammoChat Oct meeting
  4. Medical-legal partnership — Chang offering domain convergence
  5. IHA global circuit — Pappas next stage (after Dubai + Malta)

COINBASE AUDIT TRAIL — EPOCH 1

Account: Dexter Hadley Period: September 8 - October 16, 2013 Context: Stanford + balajis era (pre-Coinbase CTO) Bank: Bank of America **6105

Blockchain Transactions (On-Chain)

Merchant Orders (Sent)

Coinbase Buy/Sell Transactions

Remaining Balance (2026)

Persona

INTEL

Credential Intelligence

Patent Portfolio (23 filings, 3 clusters, 5 countries)

Cluster 1: CHOP / Hakonarson — Autism Genomics (2011-2022)

Cluster 2: UCF — Travelmoov (2022)

Cluster 3: Stanford (2013)

Cluster 4: CANONIC — Governance Stack (2026)

Summary

Network Map

Source: INTEL/ (38 person files)

Public Record Intelligence

Career Trajectory

Stanford (2013-2015) → UCSF (2015-2019) → UCF (2019-2025) → CANONIC (2025+)
   Research              Faculty              Faculty              Founder
   0.003 BTC             $680K salary         $850K salary         $40M+ WORK

Risk Assessment

LEARNING

Patterns

ROADMAP

Later

• Full career graph — 23 years academia + 13 years code mapped to evidence-backed skills taxonomy with grant lineage
• VITAE federation — DEXTER identity portable across NIH, USPTO, clinical trial registries, and CANONIC partner ORGs
• Autonomous VITAE refresh — publications, citations, grant status, clinical trial outcomes auto-updating from evidence streams
• VITAE as read/write API — governed agent reads from registries, diffs against VITAE, writes corrections back to registries

VOCAB

INHERITANCE CHAIN

VITAE

VITAE governs professional identity. Every claim evidenced.

MUST:     Evidence every professional claim
MUST:     Validate before deployment
MUST:     Source from governed inputs only
MUST:     Gate enterprise features via COIN — identity display free, verification API requires COIN
MUST NOT: Fabricate credentials
MUST NOT: Expose private data to public surfaces

SERVICES

SERVICES compose primitives — INTEL + CHAT + COIN. Every service governed. Every scope discovered.

MUST:     Maintain TRIAD integrity (CANON.md + VOCAB.md + README.md)
MUST:     Treat SPEC as scope identity (`{SCOPE}` directory), not as a file
MUST:     Every SERVICE scope include ROADMAP.md, COVERAGE.md, LEARNING.md, and `{SCOPE}.md` as governed content surfaces
MUST:     Discover SERVICE scopes from filesystem only (no manual catalog)
MUST:     Keep http:// and magic:// on the same namespace (transport differs, scope path matches)
MUST:     CANON.md = axiom + universal constraints (no service names, no paths, no implementation)
MUST:     README.md = how to run the CANON (nothing else)
MUST:     {SCOPE}.md = SPEC — the interface (purpose, routes, projections, ecosystem)
MUST:     SHOP.md = public projection file (per scope, filesystem-discoverable)
MUST:     VAULT.md = private projection file (per scope, filesystem-discoverable)
MUST:     Runtime implementation remains under ~/.canonic; this workspace is governance-first
MUST NOT: Hardcode service names in CANON constraints (law speaks universals)
MUST NOT: Define ungoverned terms outside VOCAB.md
MUST NOT: Treat `{SCOPE}.md` as SPEC identity
MUST NOT: Move architecture/lifecycle into README
MUST NOT: Leak private projections to public surfaces
MUST NOT: Maintain duplicate mapping tables outside generated manifest outputs
MUST NOT: Add runtime jargon to governance contracts
MUST:     Ledger-consuming services declare source ledgers, scope filters, and closure gates
MUST:     Learning governance remains live — closure claims require fresh DISCOVER → GENERATE → RELINK evidence

hadleylab-canonic

HADLEYLAB ships software. Every app, book, paper, deal, and patent is PROOF that MAGIC works. COIN = WORK. LEARNING = COMPUTE.

MUST:     Every app, book, paper, deal, or patent is evidence of MAGIC
MUST:     All scopes inherit canonic-canonic/CANONIC.md governance
MUST:     All users governed under USERS/ via SERVICES/USER
MUST:     Cross-index INTEL across users (INTEL.md)
MUST:     Shared events propagate to ALL affected user dashboards
MUST:     Maintain governance workspace purity (.md files only)
MUST:     Ledger all COIN (validated work) through MAGIC 255
MUST:     Compile all INTEL from governed sources
MUST:     Keep frontend/runtime implementation under ~/.canonic (hidden runtime)
MUST:     Surface governed TALK, Library, and SERVICES scopes (no orphan content)
MUST:     Derive nav labels from governed scope names (no hardcoded strings)
MUST NOT: Publish without governance (CANON.md required)
MUST NOT: Duplicate primitives — compose from INTEL, CHAT, COIN
MUST NOT: Silo intelligence inside a single user when multiple are affected
MUST NOT: Expose VAULT contents outside NDA scope
MUST NOT: Store runtime artifacts in governance workspace

canonic-canonic

SPEC is governance. `canonic-canonic/` is the spec root.

MUST:     Keep this repo governance-only (.md/.pdf)
MUST:     Publish workspace mapping in CANONIC.git (no hardcoded repo lists)
MUST:     Preserve three primary lanes: FOUNDATION, INDUSTRIES, MAGIC
MUST NOT: Commit runtime artifacts here (runtime belongs in ~/.canonic/)
MUST:     Sell MAGIC tiers — the product, not the proof (proof is hadleylab-canonic)
MUST NOT: Embed beta-test app URLs in platform page content