Curriculum Vitae

Özge Ayşe Çavuş

Founder & Research Lead, AI Istanbul Research Group · Istanbul, Türkiye

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Profile

A researcher and entrepreneur who brings a background in law and intellectual property into computational biology, working on variant interpretation and clinical decision-support systems. She develops decision-support architectures for the interpretation of Variants of Uncertain Significance (VUS) in clinical genetics, with a focus on safety, auditability, and regulatory compliance when AI participates in clinical decisions. A scientific collaboration with Prof. Dr. Ayşegül Kuşkucu (faculty member, Department of Medical Genetics, Yeditepe University Faculty of Medicine) has produced three co-authored international outputs.

Systems Built

Aistanbul VUS Decision-Support System

Architecture & development · 2025 – ongoing
  • Turkish clinical input: a 10,572-term diagnosis vocabulary is mapped to international disease and phenotype ontologies; the gene set for the pre-diagnosis is drawn from curated sources, and no variant is suppressed.
  • Deterministic classification: an ACMG/AMP engine based on the Tavtigian Bayesian framework; compound-heterozygote assessment, cross-gene isolation, and inheritance–zygosity conflict checks. The language model has no classification authority.
  • Turkish population data: 46.4 million records compiled from 3,362 individuals are used alongside international data; a separate layer audits the reliability of the frequency evidence.
  • Clinician dialogue layer: free-text questions in Turkish about the result; the answer is generated only from sources gathered for that question, and an unverifiable citation cannot enter the answer.
  • Structural safety and validation: absence of data and absence of finding are kept distinct at every layer, an audit trail is written, and continuous regression checks run on a 390-variant reference set; run end-to-end on a real clinical case with Yeditepe Medical Genetics.

vus-lens — VUS Confidence Auditor

2026
  • The pilot open-source project (MIT) of the main system; a deterministic ACMG engine, with no language model in the classification call.
  • Ancestry-aware confidence auditing: a rarity claim is flagged when the allele count is insufficient under the rule of three.
  • Warns at repeat-expansion loci that short-read exomes cannot see; cross-source conflicts and unreachable sources are never read as benign.
  • ClinGen HBOP VCEP specifications are applied for ATM and PALB2; where a generic default is used for other genes, this is explicitly labelled.
  • Validation: zero false-benign across 1,277 known-pathogenic variants; 58 of 94 definite-benign variants correctly classified; run on a 10,747-variant ATM/PALB2 cohort.
  • Live: vuslens.aistanbulresearch.com/live · github.com/aistanbulresearch/vus-lens

msep — Multi-Scale Entropy Profiling

2026
  • Combines per-cell Shannon entropy with across-cells coefficient of variation in single-cell RNA-seq data, decomposed by biological pathway.
  • Surfaces states invisible to single-scale analyses: populations that are individually diverse yet collectively disciplined; produces a Coordination Score that reduces the finding to a single number.
  • Access to 33,000+ gene sets across 12 MSigDB collections; bootstrap confidence intervals, the Fano factor, cross-pathway pseudo-perturbation, and XBP1 stress-consolidation analyses.
  • An optional Bayesian validation layer (scVI) separates technical variance from biological variance.
  • MIT-licensed, published on PyPI, validated with 48 unit tests: github.com/aistanbulresearch/msep

Dual Shield — Chordoma Single-Cell Analysis & Reasoning Pipeline

2026
  • Part of the same chordoma research strand as the ESHG 2026 presentation and the msep package.
  • 10x single-cell RNA-seq data of 114,989 cells from six patients: quality control, doublet removal, batch-effect correction with Harmony, clustering, and cell-type annotation.
  • Hypothesis testing with ligand–receptor interaction analysis (LIANA) and pseudotime; language-model agents connect to the literature via PubMed, ClinicalTrials.gov, and Open Targets to produce hypothesis validation and therapeutic reasoning.
  • A counter-argument layer that audits its own results runs on a different model from the primary reasoning agent; its conditional-approval decision and unresolved objections are published openly in the repository.
  • Findings are computational and await experimental validation; compound-level outputs are kept in a separate, access-restricted repository: github.com/aistanbulresearch/Dual_Shield

Publications & Scientific Presentations

Kuskucu A, Cavus OA. 36P — Reclassification of 9,534 germline VUS in ATM and PALB2 via AlphaMissense and structural modeling: Unveiling predicted targets for precision oncology. ESMO Open. 2026;11(Suppl 2):106140. doi:10.1016/j.esmoop.2026.106140

ESMO Targeted Anticancer Therapies Congress 2026, Paris. Co-author.

Cavus OA, Kuskucu A. Beyond Deep Learning Dominance: A Scaffold-Aware Hybrid Framework for Robust Toxicity Prediction in Data-Scarce Regimes. ChemRxiv (preprint). 2026. doi:10.26434/chemrxiv-2026-f6g15

First author. A hybrid framework addressing model collapse under data scarcity. Under peer review at the Journal of Chemical Information and Modeling.

Çavuş Ö, Kuşkucu A, Bayrak OF. Transcriptional Architecture of Ferroptosis Resistance in Chordoma: Single-Cell Resolution Reveals an Extreme GPX4 Dependency and a Dormant SREBF1-ACSL4 Axis.

European Human Genetics Conference (ESHG) 2026, Gothenburg, Sweden. Poster P01.141.C, session PV03. First and presenting author.

Publication in Law

Çavuş ÖA. Digest of Commercial Laws of the World, N. Stephan Kinsella (Ed.), TURKEY: DIGEST — Release 2009-6. Oxford University Press, 2009.

Authored the Turkey chapter of a prestigious, multi-volume global commercial-law encyclopedia covering the commercial legislation of roughly 60 countries.

Work in Progress (unpublished)

Cavus OA, Kuskucu A. Multi-Scale Entropy Profiling Reveals Pathway-Selective Defense Coordination Across Cancer Types. (2026, in submission)

First author. The open-source implementation of the method is published on PyPI.

Resistance mechanisms in antibody-drug conjugate therapies. (2025 – ongoing)

A hypothesis was developed for a 1p32 co-deletion involving the TACSTD2 and CDKN2C genes; an inhibitor strategy was proposed for TROP2-negative lung adenocarcinoma. Findings are based on in silico analysis and have not been experimentally validated.

Multi-omics integration for therapeutic target discovery in rare bone tumors. (2025 – ongoing)

Computational screening of druggable pathways in rare bone tumors, chordoma foremost.

Professional Experience

AI Istanbul Research Group — Istanbul

Founder & Research Lead · February 2024 – ongoing

An independent research group without a registered legal entity.

  • Design and development of decision-support architectures for VUS interpretation in clinical genetics.
  • Coordination of the scientific collaboration with the Department of Medical Genetics, Yeditepe University Faculty of Medicine.
  • Computational hypothesis generation in rare cancers and precision oncology.
  • Running the research programme's cycle of goal-setting, resource planning, and output.

OAC Law & Consultancy — Istanbul

Founding Partner / Attorney · May 2009 – ongoing
  • Corporate advisory and management of intellectual-property portfolios.
  • Over fifteen years working within complex regulatory frameworks, managing teams and client relationships.

Education

Stockholm University — Sweden

2009

European Intellectual Property Law, LL.M. (by thesis)

Master's thesis: The Tragedy of Anticommons in Biotechnology Field and Possible Solutions.

Marmara University — Istanbul

2007

Faculty of Law, LL.B.

Skills

Computational & Bioinformatics

Bioinformatics pipeline design · Variant interpretation and the ACMG/AMP framework · In silico biological modeling: single-cell transcriptomics, pathway and gene-set analysis, variant-effect prediction, and protein-structure analysis · Computational toxicology and ADMET screening · Statistical validation (bootstrap, permutation, Bayesian modeling) · Integration of genomic and clinical data sources (gnomAD, ClinVar, MyVariant, ClinGen, UniProt, AlphaFold, CIViC, Orphadata, HGNC).

Software Engineering

Python / FastAPI · Package development and distribution (PyPI) · Test and regression-validation infrastructure · Server deployment and service operation · Multi-agent language-model systems, retrieval-augmented generation (RAG), and output-audit mechanisms · Security architecture for AI systems.

Regulatory & Legal

Protection of genetic data and sensitive-personal-data legislation · KVKK/GDPR-compliant data architecture · Intellectual-property law in life sciences and biotechnology · Legal framework of medical-device and in vitro diagnostic regulation · Clinical-research and human-derived-material legislation · IP portfolio management and licensing · Contract drafting and negotiation · Technical and legal writing to international standards.

Entrepreneurship & Commercialization

Company founding and over fifteen years of management experience · Enterprise service sales and client-relationship management · Contract and pricing processes · Market and competitive analysis · Project and resource planning · Academic and institutional stakeholder collaboration.

Scientific Process & Project Management

Scientific manuscript preparation and peer-review management · International congress presentation · Open-source project governance and licensing · Research-integrity protocols and validation-infrastructure design · Technical documentation.

Languages

Turkish (native) · English (advanced / professional).