Faculty

Institution

Unit

Venue

Aaditya Rangan

Associate Professor of Mathematics

New York University

Affiliations

Arts & Science

Mathematics

Courant Institute of Mathematical Sciences

Mathematics

Aaditya Rangan is currently serving as an Arts & Science Associate Professor of Mathematics at New York University.

Honors

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Experiences

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Education

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Aaditya Rangan

New York University

Associate Professor of Mathematics

You can click a keyword to filter the displayed items

neuroscience computational neuroscience systems neuroscience cognitive neuroscience brain modeling neuroanatomy neurodynamics cognitive science applied mathematics neurophysiology neural computation neurons neural circuits evolutionary biology theoretical biology neuronal networks visual science brain circuitry neural science neuronal network dynamics primary visual cortex nonlinear dynamics avian biology developmental cognitive neuroscience kinetic theory nonlinear science entropy insect science mammalian biology mathematical sciences vision research visual pathways visual processing numerical method for partial differential equation diagrammatic expansion pulse-coupled network dynamics locust antennal lobe statistical mechanics plo biology vascular biology respiratory medicine numerical simulations nonlinear phenomena spatial cognition large-scale simulations network simulation chaos theory microarray data analysis computational genomics sequence analysis translational bioinformatics genome-wide association studies signal recognition brain science brain organization perception system neuroinformatics network topology network dynamics network complexity dynamic networks scale-free network medical genetics image reconstruction genome analysis matrix theory synaptic mechanisms coherent spontaneous activity spatiotemporal cortical activity line-motion illusion kinetic theories maximum-entropy closures voltage pdfs central limit theorem external drive same spike train aging brain bio-inspired computation biological data snp data systems biology biosystems biocybernetics computational biology nature method

Notable Scholarly Works

Notable Federal Grants

Collaborators

Heterogeneity Analysis Provides Evidence for a Genetically Homogeneous Subtype of Bipolar-Disorder. PLoS ONE (2025)

Caroline C McGroutherAaditya V RanganArianna Di FlorioJeremy A ElmanNicholas J SchorkJohn Kelsoe

epidemiologygeneticspsychiatryheterogeneity analysisgenetic disorderspopulation genetics

CRYOLIKE: A Python Package for Cryo-Electron Microscopy Image-To-Structure Likelihood Calculations. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Wai Shing TangJeff SoulesAaditya RanganPilar Cossio

biophysicsmicroscopypython package

Detecting Boolean Asymmetric Relationships With a Loop Counting Technique and Its Implications for Analyzing Heterogeneity Within Gene Expression Datasets. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024)

Haosheng ZhouWei LinSergio R. LabraStuart A. LiptonJeremy A. ElmanNicholas J. SchorkAaditya V. Rangan

genomicsloop counting techniquesystems biologyboolean asymmetric relationshipsgenome analysisbiostatisticsdata sciencegene expression datasetsbioinformatics

Exploring the Genetic Heterogeneity of Alzheimer’s Disease: Evidence for Genetic Subtypes. Journal of Alzheimer s Disease (2024)

Jeremy A. ElmanNicholas J. SchorkAaditya V. Rangan

geneticsgenetic subtypesmedical geneticsneurosciencegenetic heterogeneityalzheimer's disease

Genetic Subtypes of Alzheimer’s Disease Are Related to Differential Biomarker and Cognitive Trajectories. Alzheimer s & Dementia (2024)

Jeremy A. ElmanNicholas J. SchorkAaditya V Rangan

aging-associated diseasescognitive trajectoriesgeneticsgenetic subtypesdementiacognitive impairmentalzheimer's diseasegenetic epidemiologygenetic disordersneurodegenerative diseasesdifferential biomarker

A Time-Series Analysis of Blood-Based Biomarkers Within a 25-Year Longitudinal Dolphin Cohort. PLoS Computational Biology (2023)

Aaditya V. RanganCaroline C. McGroutherNivedita BhadraStephanie Venn-WatsonEric D. JensenNicholas J. Schork

blood-based biomarkerszoologylongitudinal studiestime-series analysismarine biologyanimal sciencebiostatisticscomputational biologyecologyhealth sciences

Genetic Heterogeneity of Alzheimer’s Disease: Evidence for Disease‐Relevant and Disease‐Specific Clustering. Alzheimer s & Dementia (2023)

Jeremy A. ElmanNicholas J. SchorkAaditya V Rangan

neurologygeneticsdisease-specific clusteringclusteringneurosciencegenetic heterogeneityalzheimer's disease

Robust Ab Initio Solution of the Cryo-Em Reconstruction Problem at Low Resolution With Small Data Sets. Journal of Structural Biology (2023)

Aaditya V. RanganLeslie Greengard

small data setscryo-em reconstruction problemlow resolutionapplied mathematicsstructural biology

Radial Recombination for Rigid Rotational Alignment of Images and Volumes. Inverse Problems (2022)

Aaditya V Rangan

biophysicsrigid rotational alignmentinverse problemsradial recombinationimage reconstruction

Olfactory Encoding Within the Insect Antennal Lobe: The Emergence and Role of Higher Order Temporal Correlations in the Dynamics of Antennal Lobe Spiking Activity. Journal of Theoretical Biology (2021)

Mainak PatelAaditya Rangan

cognitive neurosciencebiophysicselectrophysiologymathematical biologyavian biologyentomologyaffective neurosciencetheoretical biologyneuroscienceevolutionary biologyinsect antennal lobe

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Aaditya Rangan

Associate Professor of Mathematics

New York University

Affiliations

Arts & Science

Mathematics

Courant Institute of Mathematical Sciences

Mathematics

Aaditya Rangan is currently serving as an Arts & Science Associate Professor of Mathematics at New York University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Aaditya Rangan

New York University

Associate Professor of Mathematics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Heterogeneity Analysis Provides Evidence for a Genetically Homogeneous Subtype of Bipolar-Disorder. PLoS ONE (2025)

Caroline C McGroutherAaditya V RanganArianna Di FlorioJeremy A ElmanNicholas J SchorkJohn Kelsoe

epidemiologygeneticspsychiatryheterogeneity analysisgenetic disorderspopulation genetics

CRYOLIKE: A Python Package for Cryo-Electron Microscopy Image-To-Structure Likelihood Calculations. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Wai Shing TangJeff SoulesAaditya RanganPilar Cossio

biophysicsmicroscopypython package

Haosheng ZhouWei LinSergio R. LabraStuart A. LiptonJeremy A. ElmanNicholas J. SchorkAaditya V. Rangan

genomicsloop counting techniquesystems biologyboolean asymmetric relationshipsgenome analysisbiostatisticsdata sciencegene expression datasetsbioinformatics

Exploring the Genetic Heterogeneity of Alzheimer’s Disease: Evidence for Genetic Subtypes. Journal of Alzheimer s Disease (2024)

Jeremy A. ElmanNicholas J. SchorkAaditya V. Rangan

geneticsgenetic subtypesmedical geneticsneurosciencegenetic heterogeneityalzheimer's disease

Genetic Subtypes of Alzheimer’s Disease Are Related to Differential Biomarker and Cognitive Trajectories. Alzheimer s & Dementia (2024)

Jeremy A. ElmanNicholas J. SchorkAaditya V Rangan

A Time-Series Analysis of Blood-Based Biomarkers Within a 25-Year Longitudinal Dolphin Cohort. PLoS Computational Biology (2023)

Aaditya V. RanganCaroline C. McGroutherNivedita BhadraStephanie Venn-WatsonEric D. JensenNicholas J. Schork

blood-based biomarkerszoologylongitudinal studiestime-series analysismarine biologyanimal sciencebiostatisticscomputational biologyecologyhealth sciences

Genetic Heterogeneity of Alzheimer’s Disease: Evidence for Disease‐Relevant and Disease‐Specific Clustering. Alzheimer s & Dementia (2023)

Jeremy A. ElmanNicholas J. SchorkAaditya V Rangan

neurologygeneticsdisease-specific clusteringclusteringneurosciencegenetic heterogeneityalzheimer's disease

Robust Ab Initio Solution of the Cryo-Em Reconstruction Problem at Low Resolution With Small Data Sets. Journal of Structural Biology (2023)

Aaditya V. RanganLeslie Greengard

small data setscryo-em reconstruction problemlow resolutionapplied mathematicsstructural biology

Radial Recombination for Rigid Rotational Alignment of Images and Volumes. Inverse Problems (2022)

Aaditya V Rangan

biophysicsrigid rotational alignmentinverse problemsradial recombinationimage reconstruction

Mainak PatelAaditya Rangan

cognitive neurosciencebiophysicselectrophysiologymathematical biologyavian biologyentomologyaffective neurosciencetheoretical biologyneuroscienceevolutionary biologyinsect antennal lobe

1
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5
6
10 / page

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theoretical biology

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general system

mathematical model

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