{ "schema_version": 1, "generated_at": "2026-09-18", "description": "Public-safe profiles and publication records, with supplied-CV provenance, available primary-source verification, and explicit user corrections.", "lab": { "name": "AGWI", "type": "International student AI research lab", "description": "AGWI is an international student AI research lab open to collaborators.", "international": true, "student_lab": true, "open_to_collaborators": true, "email": "agwiai.lab@gmail.com", "contact_url": "mailto:agwiai.lab@gmail.com", "sources": [ { "id": "lab-international-student-identity", "kind": "explicit_user_instruction", "received_at": "2026-09-18", "description": "AGWI is an international student lab open to collaborators." }, { "id": "lab-public-email", "kind": "explicit_user_instruction", "received_at": "2026-09-18", "description": "The user supplied agwiai.lab@gmail.com as AGWI’s public lab email; the address uses a literal @ character." } ] }, "people": [ { "id": "gordei", "name": "Gordei Verbii", "role": "Head of AGWI", "membership": "core", "specialization": "Reframing AI problems through deep mathematics", "research_tags": [ "Theory of deep learning", "Optimal transport", "Geometry", "Probability", "Control" ], "bio": "Gordei leads AGWI, reframing AI problems through deep mathematics. He is a PhD student at Shanghai Jiao Tong University, supervised by Yaoyu Zhang, researching the theory of deep learning. His work connects probability, geometry, optimal transport, and control.", "short_bio": "Reframing AI problems through deep mathematics. PhD researcher at Shanghai Jiao Tong University, working on the theory of deep learning.", "current_affiliation": "Shanghai Jiao Tong University", "current_position": "PhD student", "photo": "gordei_photo.jpg", "links": { "github": "https://github.com/GordeyVV", "scholar": "https://scholar.google.com/citations?user=1U8ippIAAAAJ", "supervisor": "https://yaoyuzhang1.github.io/" }, "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" }, { "source_id": "gordei_cv", "page": 2, "kind": "provided_cv" }, { "source_id": "gordei_cv", "page": 3, "kind": "provided_cv" }, { "kind": "user_instruction", "description": "Current SJTU PhD, supervisor and lab specialization override older CV." } ], "publication_ids": [ "distributional-distillation", "one-inverse-step", "rough-paths", "domain-knowledge", "figli", "cayleypy-rl", "cohomological-consistency", "spectral-fingerprinting", "persistent-homology", "microlocal-observability", "information-geometric-control", "physics-informed-swarm", "multi-fidelity-codesign", "hmm-mining-fleet", "stiefel-procrustes", "swarm-transport", "voronoi-exploration", "martingale-rainbow", "ssvi-som-regimes", "optimal-recovery-bayesian" ], "education": [ "PhD, Shanghai Jiao Tong University — in progress; theory of deep learning, supervised by Yaoyu Zhang.", "Specialist degree in Fundamental Mathematics, Lomonosov Moscow State University, 2020–2026. Concentration in probability theory; minor in optimal control." ], "experience": [ "Head of AGWI, connecting mathematical foundations with AI research.", "Lead AI Researcher at Stratwise since September 2025, working across ranking, reinforcement learning, sequence models, and evaluation.", "Research in optimal transport at the Vega Institute Foundation, 2024–2025, and reinforcement learning on Cayley graphs through the ML in Algebra project.", "Research supervision and mentoring since April 2025; assistant scientific supervision at Lomonosov MSU since September 2024." ], "project_ids": [ "ssvi-schrodinger", "optimal-stopping-finance", "memory-wall", "actuarial-informed" ] }, { "id": "kirill", "name": "Kirill Bunin", "name_in_cv": "Bunin Kirill", "role": "Researcher", "membership": "core", "specialization": "Computer vision · Robotics", "research_tags": [ "Computer vision", "Robotics", "World models", "Diffusion models", "Quantization" ], "bio": "Kirill works on computer vision and robotics, with experience in diffusion models, world models, image restoration, and efficient neural networks. His research and engineering span Kandinsky Lab, Huawei Research, and MIPT’s BRAin Lab.", "short_bio": "Computer vision and robotics, from diffusion-based world models to efficient neural networks.", "current_affiliation": "Kandinsky Lab; BRAin Lab, MIPT", "current_position": "ML Researcher; part-time AI Researcher", "photo": "kirill_photo.jpg", "links": { "github": "https://github.com/kirbu123" }, "sources": [ { "source_id": "kirill_cv", "page": 1, "kind": "provided_cv" }, { "source_id": "kirill_cv", "page": 2, "kind": "provided_cv" }, { "kind": "user_instruction", "description": "Computer vision and robotics specialization." } ], "publication_ids": [ "figli", "multi-fidelity-codesign" ], "education": [ "Bachelor’s program at the Moscow Institute of Physics and Technology, Phystech School of Applied Mathematics and Informatics, 2022–2026: mathematical physics, computer technologies, and mathematical modeling in economics." ], "experience": [ "ML Researcher in Kandinsky Lab’s World Model Team since April 2026, developing camera control and synthetic data generation with diffusion models.", "ML Engineer at Huawei Research, 2025–2026, working on image restoration and efficient camera pipelines.", "Part-time AI Researcher at MIPT’s BRAin Lab since August 2025, researching efficient language models and post-training quantization.", "Computer vision and model optimization at Smart Engines, 2024–2025; earlier research in video codecs at Yandex Kinopoisk." ], "project_ids": [] }, { "id": "ilya", "name": "Ilya Starikov", "role": "Researcher", "membership": "core", "specialization": "Optimization · PINNs · Financial AI · Robotics", "research_tags": [ "Optimization", "Physics-informed neural networks", "Financial AI", "Robotics" ], "bio": "Ilya studies mathematics at Lomonosov Moscow State University. His interests span optimization, physics-informed neural networks, financial AI, and robotics, with work on mining simulation, fleet management, and multi-fidelity robotic co-design.", "short_bio": "Optimization, physics-informed neural networks, financial AI, and robotics. Mathematics at Lomonosov MSU.", "current_affiliation": "Lomonosov Moscow State University", "current_position": "Mathematics student", "photo": "ilya_photo.jpg", "links": { "github": "https://github.com/Peroxxxide", "openreview": "https://openreview.net/profile?id=%7EIlya_Starikov1" }, "sources": [ { "source_id": "ilya_cv", "page": 1, "kind": "provided_cv" }, { "kind": "user_instruction", "description": "Optimization, PINNs, Fin AI and robotics specialization." } ], "publication_ids": [ "multi-fidelity-codesign" ], "education": [ "Specialist degree in Mathematics at Lomonosov Moscow State University — in progress, expected May 2027. Faculty of Mechanics and Mathematics, Department of Mathematical and Computer Methods of Analysis." ], "experience": [ "Developed OpenMines, an open-source framework for mining simulation and autonomous truck dispatching.", "Investigated memory-augmented hidden Markov models and multi-objective queue optimization for mining fleet management.", "Coauthored Multi-Fidelity Robotic Co-Design via the Refinement Limit with Gordei Verbii and Kirill Bunin, accepted as an abstract at the RSS 2026 L2P workshop." ], "project_ids": [ "actuarial-informed", "openmines" ] }, { "id": "nauan", "name": "Nauan Darkhan", "role": "Researcher", "membership": "core", "specialization": "LLM evaluation · AI infrastructure · Robotics", "research_tags": [ "LLM evaluation", "AI infrastructure", "Quantization", "Robotics" ], "bio": "Nauan works on LLM evaluation, AI infrastructure, and robotics. A software engineering student at Wuhan University, he builds grounded code-intelligence tools and studies the memory constraints of language-model inference on consumer hardware.", "short_bio": "LLM evaluation, AI infrastructure, and robotics, with a focus on grounded tools and efficient inference.", "current_affiliation": "Wuhan University", "current_position": "Software engineering undergraduate", "photo": "nauan_photo.jpg", "links": { "github": "https://github.com/thedarkich", "linkedin": "https://linkedin.com/in/darkhan-nauan-6b07a8342" }, "sources": [ { "source_id": "nauan_cv", "page": 1, "kind": "provided_cv" }, { "kind": "user_instruction", "description": "LLM evaluation, AI infrastructure and robotics specialization." } ], "publication_ids": [], "education": [ "BEng in Software Engineering at Wuhan University — in progress, class of 2030.", "Foundation year in engineering at Xi’an Jiaotong University, 2025–2026, with Chinese-medium instruction." ], "experience": [ "Builds codelore, a grounded code-intelligence tool using syntax trees, semantic summaries, and import-graph analysis.", "Studies memory bandwidth and quantization constraints in LLM inference on consumer hardware; results remain preliminary.", "Machine Learning Engineer at Top MD Health, July–September 2026, preparing multilingual speech datasets and tools for ASR and retrieval systems.", "Founded and captained a robotics team that placed second at the FTC Central Asian Regional." ], "project_ids": [ "memory-wall", "codelore" ] }, { "id": "georgii", "name": "Georgii Kilinkarov", "role": "External research partner", "membership": "external_partner", "specialization": "Reinforcement learning · Financial AI · Quantitative finance", "research_tags": [ "Reinforcement learning", "Financial AI", "Quantitative finance", "Market regimes" ], "bio": "Georgii is AGWI’s external research partner at Stratwise, where he leads research in trading and machine learning. His work brings together reinforcement learning, statistical market models, and production AI systems.", "short_bio": "Research partner from Stratwise, working on reinforcement learning, financial AI, and quantitative finance.", "current_affiliation": "Stratwise", "current_position": "Head of Research, Trading and Machine Learning", "photo": "georgii_photo.jpg", "links": { "organization": "https://stratwise.ai" }, "sources": [ { "source_id": "georgii_cv", "page": 1, "kind": "provided_cv" }, { "kind": "user_instruction", "description": "External partner from Stratwise, RL / Fin AI / quantitative finance." } ], "publication_ids": [ "martingale-rainbow", "ssvi-som-regimes" ], "education": [], "experience": [ "Head of Research, Trading and Machine Learning at Stratwise, directing work from research design through live strategy development.", "Researches adaptive trading systems, volatility forecasting, market regimes, and martingale-constrained reinforcement learning.", "Led a multi-agent task-management platform integrating language models, voice transcription, and service-based infrastructure.", "Led an industrial computer-vision pipeline at MR.DOORS, translating engineering drawings into CNC machine instructions." ], "project_ids": [ "ssvi-schrodinger", "optimal-stopping-finance" ] }, { "id": "ivan", "name": "Ivan Stankevich", "role": "External advisor", "membership": "external_advisor", "specialization": "Econometrics · Machine learning · Economics and finance", "research_tags": [ "Econometrics", "Machine learning", "Economics", "Finance" ], "bio": "Ivan is a regular external advisor to AGWI and an Assistant Professor in HSE University’s Department of Applied Economics. A Senior Research Fellow in macro-structural modeling, he teaches econometrics and advanced machine learning and AI for economics and finance. He received his PhD from HSE in 2022.", "short_bio": "External advisor and Assistant Professor at HSE, working at the intersection of econometrics, machine learning, and finance.", "current_affiliation": "HSE University", "current_position": "Assistant Professor", "photo": "ivan.png", "links": { "hse": "https://www.hse.ru/en/org/persons/14296740/", "researchgate": "https://www.researchgate.net/profile/Ivan-Stankevich" }, "sources": [ { "kind": "user_instruction", "description": "Regular external advisor professor, with HSE and ResearchGate profile links." }, { "kind": "official_profile", "url": "https://www.hse.ru/en/org/persons/14296740/", "verified_by": "parent agent", "accessed_at": "2026-09-18" } ], "notes": [ "Assistant Professor is the current official HSE title; the user’s broader professor description is not used as a full-professor rank." ], "publication_ids": [], "education": [ "PhD, HSE University, 2022." ], "experience": [ "Assistant Professor, Department of Applied Economics, Faculty of Economic Sciences, HSE University.", "Senior Research Fellow in macro-structural modeling at HSE University.", "Teaches econometrics and advanced machine-learning and AI applications in economics and finance.", "Regular external advisor to AGWI." ], "project_ids": [], "photo_source": { "id": "ivan-supplied-photo", "kind": "user_supplied_image", "received_at": "2026-09-18", "description": "The user supplied Ivan Stankevich’s portrait for the website; the public asset filename is ivan.png." } } ], "publications": [ { "id": "distributional-distillation", "title": "The Distributional View of Knowledge Distillation", "year": 2026, "type": "preprint", "status": "Preprint", "venue": "arXiv:2608.15215", "member_ids": [ "gordei" ], "authors": [ "Gordei Verbii", "Juho Lee" ], "author_list_complete": true, "url": "https://arxiv.org/abs/2608.15215", "link_kind": "paper", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "Primary-source verified for listed fields", "first_author": "Gordei Verbii", "coauthor_affiliations": { "Juho Lee": "KAIST" }, "verified_fields": [ "authors", "date", "preprint_status", "title" ], "external_sources": [ { "url": "https://arxiv.org/abs/2608.15215", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "arXiv lists both authors and submission on 15 August 2026." } ], "date": "2026-08-15", "doi": "10.48550/arXiv.2608.15215", "author_label": "Gordei Verbii, Juho Lee" }, { "id": "one-inverse-step", "title": "One Inverse Step is a Convex Program: Bayes-Limit Calibration of Diffusion Inversion", "year": 2026, "type": "preprint", "status": "Preprint", "venue": "arXiv:2608.23094", "member_ids": [ "gordei" ], "authors": [ "Gordei Verbii" ], "author_list_complete": true, "url": "https://arxiv.org/abs/2608.23094", "link_kind": "paper", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "Primary-source verified for listed fields", "versions": [ { "title": "Extracting Local Manifold Geometry from Pretrained Diffusion Models in One Inverse Step", "year": 2026, "type": "workshop paper", "venue": "ICML 2026 SPIGM Workshop; KDD 2026 GALOP Workshop", "url": "https://openreview.net/pdf?id=E7op24P6Uh", "relationship": "Earlier workshop version; revised follow-up relationship confirmed by arXiv", "status": "Accepted workshop poster" } ], "verified_fields": [ "authors", "date", "earlier_version_relationship", "preprint_status", "title" ], "external_sources": [ { "url": "https://arxiv.org/abs/2608.23094", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "arXiv lists Gordei Verbii, 24 August 2026, and identifies the earlier ICML SPIGM workshop title as a revised follow-up." }, { "url": "https://spigmworkshop2026.github.io/papers/", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "Official accepted-paper list includes the exact earlier title as paper 251." }, { "url": "https://hyperboliclearning.github.io/events/kdd2026workshop", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "Official accepted-paper list includes the earlier title as a poster and links OpenReview E7op24P6Uh." } ], "date": "2026-08-24", "doi": "10.48550/arXiv.2608.23094", "author_label": "Gordei Verbii" }, { "id": "rough-paths", "title": "Rough Paths to Certified Reliability", "year": 2026, "type": "workshop poster", "status": "Accepted workshop poster", "venue": "KDD 2026 RelSciFM Workshop", "member_ids": [ "gordei" ], "authors": [ "Gordei Verbii" ], "author_list_complete": true, "url": "https://openreview.net/forum?id=eXZOJiRCGp", "link_kind": "paper", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "Primary-source verified for listed fields", "verified_fields": [ "authors", "presentation_type", "title", "workshop_acceptance" ], "external_sources": [ { "url": "https://kdd26-relscifm.github.io/", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "Official accepted-paper list identifies Gordei Verbii and a poster. Workshop policy is non-archival." } ], "archival": false, "author_label": "Gordei Verbii" }, { "id": "domain-knowledge", "title": "Domain-constrained Knowledge Accumulates Flashes of Insight through Contradictions at the Border of Domains", "year": 2026, "type": "poster", "status": "Accepted poster", "venue": "AI4Sci Korea 2026", "member_ids": [ "gordei" ], "authors": [ "Gordei Verbii" ], "author_list_complete": true, "url": "https://ai4scikorea.org/", "link_kind": "conference", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "CV-reported; not independently confirmed", "verified_fields": [], "external_sources": [], "author_label": "Gordei Verbii" }, { "id": "figli", "title": "FiGLi: Finsler Gauge on Lie Algebra for Guiding Vector Fields", "year": 2026, "type": "conference paper", "status": "Accepted main-track paper", "venue": "IEEE CRC 2026", "member_ids": [ "gordei", "kirill" ], "authors": [ "Gordei Verbii", "Kirill Bunin" ], "author_list_complete": true, "url": "https://www.iccrc.org/", "link_kind": "conference", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" }, { "id": "figli-final-author-list", "kind": "explicit_user_correction", "received_at": "2026-09-18", "description": "The user confirms that FiGLi has exactly two authors, in this order: Gordei Verbii and Kirill Bunin. This is the complete author list." } ], "verification": "Complete two-author list and order confirmed by explicit user correction; acceptance remains CV-reported", "first_author": "Gordei Verbii", "verified_fields": [], "external_sources": [], "user_confirmed_fields": [ "authors", "author_order", "author_list_complete" ], "author_label": "Gordei Verbii, Kirill Bunin" }, { "id": "cayleypy-rl", "title": "CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs", "year": 2026, "type": "journal article", "status": "Published (CV-reported)", "venue": "Advances in Theoretical and Mathematical Physics 30(1), 211–269", "member_ids": [ "gordei" ], "authors": [ "A. Chervov", "M. Obozov", "A. Soibelman", "S. Lytkin", "I. Kiselev", "S. Fironov", "A. Lukyanenko", "A. Dolgorukova", "A. Ogurtsov", "F. Petrov", "S. Krymskii", "M. Evseev", "L. Grunvald", "D. Gorodkov", "G. Antiufeev", "G. Verbii", "V. Zamkovoy", "L. Cheldieva", "I. Koltsov", "A. Sychev", "A. Eliseev", "S. Nikolenko", "N. Narynbaev", "R. Turtayev", "N. Rokotyan", "S. Kovalev", "A. Rozanov", "V. Nelin", "S. Ermilov", "L. Shishina", "D. Mamayeva", "A. Korolkova", "K. Khoruzhii", "A. Romanov" ], "author_list_complete": true, "url": "https://intlpress.com/JDetail/2043371382418444289", "link_kind": "journal_record", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "Primary-source verified for listed fields", "verified_fields": [ "authors", "related_journal_doi", "title" ], "external_sources": [ { "url": "https://arxiv.org/abs/2502.18663", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "Current arXiv v3 lists 34 authors in this order and the related ATMP DOI. Publisher detail page could not be fetched." } ], "doi": "10.4310/ATMP.260413005111", "preprint_url": "https://arxiv.org/abs/2502.18663", "author_label": "A. Chervov, M. Obozov, A. Soibelman, S. Lytkin, I. Kiselev, S. Fironov, A. Lukyanenko, A. Dolgorukova, A. Ogurtsov, F. Petrov, S. Krymskii, M. Evseev, L. Grunvald, D. Gorodkov, G. Antiufeev, G. Verbii, V. Zamkovoy, L. Cheldieva, I. Koltsov, A. Sychev, A. Eliseev, S. Nikolenko, N. Narynbaev, R. Turtayev, N. Rokotyan, S. Kovalev, A. Rozanov, V. Nelin, S. Ermilov, L. Shishina, D. Mamayeva, A. Korolkova, K. Khoruzhii, A. Romanov" }, { "id": "cohomological-consistency", "title": "Cohomological Consistency in Modular Soft Robot Networks", "year": 2026, "type": "extended abstract", "status": "Accepted extended abstract", "venue": "RoboSoft 2026", "member_ids": [ "gordei" ], "authors": [ "Gordei Verbii" ], "author_list_complete": true, "url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11522906", "link_kind": "abstract_collection", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "Primary-source verified for listed fields", "verified_fields": [ "authors", "extended_abstract_status", "program_id", "title" ], "external_sources": [ { "url": "https://www.robosoft2026.org/wp-content/uploads/2026/04/FullProgram_20260409.pdf", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "Official RoboSoft program search extract lists exact title, Gordei Verbii, and EA paper 543 in poster session WeAM-PS. Direct PDF fetch unavailable.", "access_note": "Primary-source search extract; full PDF could not be fetched in this session." } ], "program_id": 543, "presentation_type": "Poster", "author_label": "Gordei Verbii" }, { "id": "spectral-fingerprinting", "title": "Spectral Fingerprinting of Deformable Bodies: Laplace–Beltrami Invariants for Soft Robot State Estimation", "year": 2026, "type": "extended abstract", "status": "Accepted extended abstract", "venue": "RoboSoft 2026", "member_ids": [ "gordei" ], "authors": [ "Gordei Verbii" ], "author_list_complete": true, "url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11522906", "link_kind": "abstract_collection", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "Primary-source verified for listed fields", "verified_fields": [ "authors", "extended_abstract_status", "program_id", "title" ], "external_sources": [ { "url": "https://www.robosoft2026.org/wp-content/uploads/2026/04/FullProgram_20260409.pdf", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "Official RoboSoft program search extract lists exact title, Gordei Verbii, and EA paper 542 in poster session WeAM-PS. Direct PDF fetch unavailable.", "access_note": "Primary-source search extract; full PDF could not be fetched in this session." } ], "program_id": 542, "presentation_type": "Poster", "author_label": "Gordei Verbii" }, { "id": "persistent-homology", "title": "Persistent Homology for Topological Classification of Soft Robot Deformation Modes", "year": 2026, "type": "extended abstract", "status": "Accepted extended abstract", "venue": "RoboSoft 2026", "member_ids": [ "gordei" ], "authors": [ "Gordei Verbii" ], "author_list_complete": true, "url": "https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11522906", "link_kind": "abstract_collection", "sources": [ { "source_id": "gordei_cv", "page": 1, "kind": "provided_cv" } ], "verification": "Primary-source verified for listed fields", "verified_fields": [ "authors", "extended_abstract_status", "program_id", "title" ], "external_sources": [ { "url": "https://www.robosoft2026.org/wp-content/uploads/2026/04/FullProgram_20260409.pdf", "kind": "primary_source", "checked": "2026-09-18", "evidence_summary": "Official RoboSoft program search extract lists exact title, Gordei Verbii, and EA paper 541 in poster session WeAM-PS. 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