Think-Reason-Learn

Research lab

Vela Research and the University of Oxford

We quantify the unquantifiable, to predict the future.

Work with us research@thinkreasonlearn.com

Core Team

  • Ben GriffinResearch Scientist · Oxford PhD
  • Yuhang YeResearch Scientist · Oxford PhD
  • Rick ChenResearch Scientist · Oxford PhD
  • Jack PreuveneersResearch Scientist · Oxford PhD
  • Felix CrabtreeResearch Scientist · Oxford PhD
  • Xianling MuResearch Scientist · Oxford Mathematics
  • Afriyie Kwesi SamuelMember of Technical Staff · key open-source contributor
  • Aaron Ontoyin YinMember of Technical Staff · Math Olympiad
  • Zakari SalifuMember of Technical Staff · Kaggle AI Master
  • Kelvin AmoabaMember of Technical Staff · key open-source contributor
  • Fuat AlicanCo-founder and General Partner · Economics PhD · ex-Citi
  • Aikins LaryeaMember of Technical Staff · key open-source contributor
  • Yigit IhlamurCo-founder and General Partner · ex-Google, Oxford

Collaborators

  • John DrzikFormer President of Marsh · Princeton PhD
  • Ugur KoyluogluPartner and Vice Chair, Oliver Wyman · Princeton PhD
  • Joseph Ternaskyex-Google, Meta, Microsoft, Apple
Contributors 57Researchers from Oxford and beyond who built the work behind the labShow all
  • Mirsaid AbdullahOxfordIntegrating knowledge graphs, community detection, and linear models for outlier detection
  • Abdullah AbidOxfordAutomated market segmentation with vector space clustering
  • Satyam AgarwalOxfordSearch engine-based sourcing agent
  • Sinan AkcaliOxfordWord embeddings as feature generation
  • Yusuke AtsutaOxfordBERT-powered automated market map
  • Bogdan Andrei BabanOxfordMulti-ML model and sensitivity analysis
  • Anna BatorOxfordPerformance of structured and reasoned features
  • Joel BeazleyOxfordStability-aware integration of LLM-derived feature families
  • Matthew BuckleyOxfordIdea clustering
  • Chloe ChanOxfordImpact of social interactions
  • Zhaozhou ChenOxfordInvestor segmentation with graph-based modeling
  • Ian CheungOxfordSBERT-based similarity search
  • Julia DabrowskaOxfordMarket-focused reflective LLMs for idea prediction
  • Yashkanwar DadwalOxfordFounder network score
  • Prabhav DesaiOxfordLarge founder model v0
  • Hristo EfimovOxfordKnowledge graph agent
  • Zejun FengOxfordMirrored verification, multi-agent rating
  • Xun HuOxfordGNNs for startup prediction
  • Leona Renard KouameOxfordSourcing agent for YC
  • Mihir KumarOxfordRare-event prediction, ensemble learning
  • Ethan LiOxfordAlpha decay
  • Hao LiOxfordLLM-based feature engineering
  • Nathan LiOxfordOptimal stop-loss
  • Xingzhe LiOxfordIncumbent priority identification for competition
  • Johnny LiangOxfordAutoresearch on VCBench
  • Yunqi LiangOxfordDeal-level correlation, portfolio construction
  • Yizhang LouOxfordMulti-agent VC
  • Chun Hin MaOxfordDescription-driven predictions
  • Anirudh Jaidev MaheshOxfordVerifiable reasoning, LLM code generation
  • Tom MarsdenOxfordFounder trajectory
  • Eduard OravkinOxfordPageRank for investors
  • Te PeiOxfordHierarchical clustering, founder personas
  • Aldair PetroniliaOxfordFoundations of founder prediction with EDA and ML
  • Julianna PiskorzOxfordInvestor similarities
  • Jude PophamOxfordFounder archetypes with Graph Neural Networks
  • Ashmit RaoOxfordDisambiguating reasoned features with an option to pick an in-between decision
  • Jimmy RippinOxfordCrunchbase-focused sourcing agent
  • Jirko RubruckOxfordTemporal features
  • Ipek SahbazogluOxfordKnowledge graph with graph convolutional networks
  • Kensei SakamotoOxfordProbabilistic modeling of venture capital portfolio outliers
  • Luka SecilmisETH Zurich & EPFLBERT-based idea prediction
  • Aarav ShrimankerOxfordMulti-layer probabilistic pattern mining with adaptive confidence networks
  • Sameer SinghUniversity of MichiganReasoning-based predictions
  • Moncef SlimaniOxfordUnsupervised explained ensemble clustering model for founder persona characterization
  • Grace SodunkeOxfordTime-machine features
  • Liren SongOxfordWord2vec for the startup language
  • Anushka SuyalOxfordExtended level segmentation
  • Ayan VijaypurkarOxfordLLM-driven career growth analysis
  • Hengyu WangOxfordNaive Bayes model with ML
  • Junyan WangOxfordLLM-driven founding team synergies
  • Peiren WangOxfordPosition sizing and autoresearch
  • Xisen WangOxfordMulti-agent framework, SSFF
  • Maximilian WestermannOxfordLLM-based feature discovery, CoFEE
  • Sichao XiongOxfordGPTree, LLM-powered decision trees
  • Cagan YanmazOxfordCo-investor modeling
  • Raymond ZhaoOxfordInvestor-focused SVM
  • Silei ZhuOxfordExplainable classification via fine-tuned LLM embeddings