California Institute of Technology
1 research group · 1 research series currently mapped
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Explore the current collection of independent research guides. Each lab connects to the background needed to understand its work.
Universities
Harvard University
1 research group · 1 research series currently mapped
Explore universityStanford University
6 research groups · 6 research series currently mapped
Explore universityUniversity of California, Berkeley
1 research group · 1 research series currently mapped
Action chunkingAutonomous robot learningBehavioral cloningCross-embodiment learningDeep reinforcement learning
Explore university Weizmann Institute of Science
1 research group · 1 research series currently mapped
Explore universityResearch topics
Action chunkingActive matterAdaptationAdaptive DBSAllosteryAngiogenesisAutonomous robot learningB-cell repertoireBacteriophagesBasal gangliaBehavioral cloningBeta burstsBeta oscillationsBioengineeringBiological design principlesBiological fidelityBiological numeracyBiomaterialsBiophysicsBistabilityBlack-hole entropyBPS statesBradykinesiaCalabi–Yau manifoldsCalcium imagingCancer biologyCancer neuroscienceCancer-treatment-related cognitive impairmentCAR T-cell therapyCell atlasesCell-free DNACell-free RNACholinergic signalingCLARITYCoarse-grainingCollective dynamicsComputational neuroscienceCortical organoidsCosmologyCross-embodiment learningCSPG4CytoskeletonDark dimensionDark energyDark matterDeconvolutionDeep brain stimulationDeep reinforcement learningDiabetesDiffuse midline gliomaDiffusion modelsDIPGDistance ConjectureDNA sequencingDualityDynamical compensationDynamical systemsEffective field theoryElectroencephalographyElectrophysiologyEmbodied AIEndothelial cellsError correctionExtra dimensionsExtracellular matrixF-theoryFeed-forward loopsFeedback controlFiber photometryFibrosisFlow matchingFreezing of gaitGABAergic signalingGaitGD2Gene regulationGene regulatory networksGenerative policiesGenomic diagnosticsGenomicsGlial biologyGliomaGlutamatergic signalingGoal-conditioned reinforcement learningGompertz lawGrand unificationH3K27 alterationHallmarks of CancerHierarchical robot controlHormone regulationHuman viromeImitation learningImmune repertoire sequencingInertial measurement unitsInflammationInformation theoryInterpretable machine learningKaluza–Klein theoryKinematicsKinetic proofreadingLiquid biopsyLocal field potentialsMachine learningMassively parallel reporter assaysMechanobiologyMechanotransductionMetagenomicsMicrobial ecologyMicrobiomeMicrofluidicsMicrogravityMicrotubulesModuli spaceMolecular countingMolecular motorsMovement disordersMultielectrode arraysNetwork motifsNeural biomarkersNeural circuitsNeural codingNeural decodingNeural network modelsNeural population dynamicsNeurodevelopmentNeuroligin-3NeuromodulationNeuron-to-glioma synapsesNonequilibrium biologyNoninvasive prenatal testingObject motionOffline reinforcement learningOffline-to-online learningOligodendrocyte precursor cellsOptogeneticsParkinson’s diseasePatch clampPediatric brain cancerPeriodic Table of DiseasesPersonalized neuromodulationPhysical biologyPhysiological circuitsPIEZO1Predictive codingPredictive medicinePrenatal genomicsPromotersQuantitative biologyQuantitative digitographyQuantum gravityQuantum-gravity phenomenologyReal-world reinforcement learningReg-SeqRegenerative medicineRegulatory DNARegulatory genomicsReinforcement learningRepresentation learningRetinaRNA sequencingRobot foundation modelsRobot learningRobot manipulationRobot planningRoboticsRobustnessSaturated removal modelSenescenceSimple repressionSingle-cell genomicsSingle-cell RNA sequencingSingle-molecule measurementSkeletal muscle engineeringSpatial proteomicsSpatial transcriptomicsSpecies scaleSTARmapStatistical evidenceStatistical mechanicsStem-cell-derived vascular cellsString compactificationString landscapeString theorySubthalamic nucleusSupersymmetrySwamplandSynaptic plasticitySystems agingSystems biologySystems medicineSystems neuroscienceT-cell receptor repertoireTabula SapiensTissue clearingTissue dynamicsTissue engineeringTopological string theoryTranscription factorsTranscriptomicsTransplant monitoringTumor evolutionTumor heterogeneityTumor microenvironmentUltrasound neurostimulationUV completionVascular regenerationViral ecologyViral genomicsVision-language modelsVision-language-action modelsVisual neuroscienceVisuomotor learningXenocorticationXenotransplantation
Labs currently mapped
Bronte-Stewart Lab
Helen Bronte-StewartHuman Motor Control and Neuromodulation Laboratory: linking quantitative movement measurements with implanted subthalamic local field potentials and neuromodulation to understand Parkinson’s disease and develop personalized adaptive therapies.
5 lessons · ~27 minutes
Explore the labCumrun Vafa Research Group
Cumrun VafaResearch using string theory, geometry, duality, black-hole physics and quantum-gravity consistency to understand which effective theories can arise from quantum gravity and what those constraints might imply for particle physics and cosmology.
7 lessons · ~37 minutes
Explore the labKarl Deisseroth Lab
Karl DeisserothControlling, mapping and modeling neural circuits across cell types, space and behavior.
9 lessons · ~48 minutes
Explore the labMichelle Monje Lab
Michelle MonjeResearch at the intersection of neurodevelopment, glioma biology, neural activity, tumor microenvironment signaling, cancer neuroscience, and mechanism-guided therapies.
Cancer biologyCancer neuroscienceCancer-treatment-related cognitive impairmentCAR T-cell therapyCholinergic signaling
9 lessons · ~50 minutes
Explore the labNgan F. Huang Lab
Ngan F. HuangCells, matrices and engineered environments for vascular and muscle regeneration.
6 lessons · ~46 minutes
Explore the labRob Phillips Physical Biology Laboratory
Rob PhillipsResearch using quantitative experiments, statistical mechanics, information theory, nonequilibrium physics, and large-scale biological measurements to discover predictive principles in gene regulation, biological fidelity, active matter, and viral ecology.
6 lessons · ~29 minutes
Explore the labRobotic AI & Learning Lab
Sergey LevineBerkeley RAIL research studies robot learning from demonstrations, reward, prior datasets, and interaction: policies, reinforcement learning, manipulation, and generalization. The independent Levine primer also covers his co-founder work at Physical Intelligence, a separate company.
7 lessons · ~37 minutes
Explore the labStephen A. Baccus Lab
Stephen A. BaccusHow retinal circuits transform visual information, adapt and compute; models that connect predictions to mechanisms.
6 lessons · ~45 minutes
Explore the labStephen Quake Lab
Stephen QuakeResearch develops biological measurement tools and applies them to single-cell genomics, genomic diagnostics, microbial ecology, and quantitative biological analysis. This independent primer distinguishes historical lab contributions, collaborative and consortium results, current research, and clinical screening from diagnosis.
6 lessons · ~29 minutes
Explore the labUri Alon Lab
Uri AlonResearch seeking simple quantitative design principles that explain biological circuits, physiology, disease, tissue dynamics, and aging.
9 lessons · ~48 minutes
Explore the lab10 labs in this selection