Faculty

Institution

Unit

Venue

Sumanta Basu

Associate Professor

Cornell University

Affiliations

College of Computing and Information Science

Department of Statistics and Data Science

College of Agriculture and Life Sciences

Department of Computational Biology

Sumanta Basu is currently serving as a College Of Computing And Information Science Associate Professor at Cornell University.

Honors

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Experiences

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Education

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Sumanta Basu

Cornell University

Associate Professor

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statistics statistical methodology computational statistics data science high-dimensional statistics statistical models time series finance statistical inference high-dimensional method financial time series analysis applied statistics machine learning research model selection systems biology computational biology finance research molecular informatics decision tree learning bioinformatics knowledge discovery financial studies financial networks biomedical informatics estimation theory financial network analysis sparse representations cancer discovery metabolic profiling metabolomic profiling prostatic disease financial econometrics high-frequency financial econometrics genome biology financial stability dependent data molecular metabolism cell metabolism insect molecular biology spectral theory regulatory network modelling high-dimensional network gene regulatory networks regularization (mathematics) target prediction metabolic pathway analysis gene expression profiling interactomics iterative random forests random forests geographical information science pathway analysis spatial statistical analysis spatio-temporal models spatial science decision trees ensemble algorithms feature selection gene regulation statistical signal processing low rank gaussian process metabolic networks biological network visualization stable gaussian processes regularized estimates stability measure sixth order biological interpretation least squares tree ensembles mdi importance feature importance group lasso network modeling ad cell lines predictive analytics natural computing interaction network structure learning statistical machine learning

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Co-Segmentation Algorithm to Predict Emotional Stress From Passively Sensed Mhealth Data. arXiv (Cornell University) (2025)

Kim, YounghoonBasu, SumantaBanerjee, Samprit

co-segmentation algorithmmachine learning researchpatient datahealth monitoringmachine learningdata scienceaffective computingphysiological measurementschronic paintime seriesdigital medicinedata-driven predictionmental health monitoringstatistics

A Co‐Segmentation Algorithm to Predict Emotional Stress From Passively Sensed Mhealth Data. Statistics in Medicine (2025)

Younghoon KimSumanta BasuSamprit Banerjee

predictive analyticshealth informaticsmachine learning researchpatient dataco‐segmentation algorithmmachine learningbiostatisticsdata scienceaffective computingphysiological measurementschronic paintime seriesdigital medicinedata-driven predictionmental health monitoringhealth monitoring

A Pathwise Coordinate Descent Algorithm for Lasso Penalized Quantile Regression. arXiv (Cornell University) (2025)

Kim, SangheeBasu, Sumanta

loss minimizationhigh-dimensional methodstatisticsstatistical methodologydata sciencesparse representationscomputational statisticslarge scale optimizationquantile regressionregularization pathhigh-dimensional statisticsnumerical linear algebramathematical optimizationregularization (mathematics)statistical learning theoryapplied mathematicsmachine learning researchmachine learningcomputational optimizationstatistical inferenceapplied statistics

PROLONG: Penalized Regression for Outcome Guided Longitudinal Omics Analysis With Network and Group Constraints. Bioinformatics (2025)

Steve BrollSumanta BasuMyung Hee LeeMartin T Wells

biomedical informaticsmodel selectionbiomedical data analysislongitudinal groupmachine learning researchomics integrationbiomedical data sciencestatistical methodologycomputational statisticsbiostatisticslongitudinal omics analysispotential biomarkershigh-dimensional statisticsapplied statisticsomicsstatistics

A High-Dimensional Approach to Measure Connectivity in the Financial Sector. The Annals of Applied Statistics (2024)

Sumanta BasuSreyoshi DasGeorge MichailidisAmiyatosh Purnanandam

systemic riskfinancial studieshigh-dimensional methodfinancial network analysisfinancial stabilitystatisticseconometricsstatistical methodologycomputational statisticshigh-dimensional statisticsfinance researchfinancial crisisfinancefinancial networksfinancial time series analysisgreat financial crisisquantitative analysis (finance)statistical inferencestatistical methods

Hierarchical Modeling of Irregularly Spaced Financial Returns. Stat (2024)

Sreeram AnantharamanNalini RavishankerSumanta Basu

monte carlo averageseconometricsforecastingstatistical modelsfinancebayesian analysishigh-frequency financial econometricsstatistical methodologyfinancial time series analysishamiltonian monte carlotime seriesvolatility modelingfinancial econometricsstatistics

Integrative Analysis of Differentially Expressed Genes in Time-Course Multi-Omics Data Withmint-De. Research Square (Research Square) (2024)

Hao XueSofie DelbareMartin WellsSumanta BasuAndrew Clark

omics technologiesgeneticstemporal dynamic consistencybioinformaticsgene regionsquantitative biologyfunctional genomicssystems biologygenomicscomputational biologymolecular informaticsomics datasetsmulti-omics studiesgenome biologyomics integrationsite selectionmultiomicsomics

Modeling Multivariate Positive‐Valued Time Series Using R‐Inla. Applied Stochastic Models in Business and Industry (2024)

Chiranjit DuttaNalini RavishankerSumanta Basu

finance researchforecastingstatistical modelsfinancebayesian analysisfinancial time series analysisstatistical methodologyvector autoregression evolutionbayesian econometricsflexible levelfinancial studiestime seriesvolatility modelingfinancial econometricsstatistics

Regularized Estimation of Sparse Spectral Precision Matrices. arXiv (Cornell University) (2024)

Deb, NavonilKuceyeski, AmyBasu, Sumanta

model selectionmathematical optimizationsparse representationsregularization (mathematics)spectral precision matrixapplied mathematicscomplex graphical lassostationary time seriesstatistical methodologycomputational statisticsnumerical algorithmsdata sciencehigh-dimensional methodhigh-dimensional statisticssignal processingnumerical linear algebraspectral theory

Syndromic Surveillance Tracks Covid-19 Cases in University and County Settings: Retrospective Observational Study. JMIR Public Health and Surveillance (2024)

Lily Minh WassDerek O'Keeffe HoareGeorgia Elena SmitsMarwan OsmanNing ZhangWilliam KlepackLara ParrillaJefferson M BuscheMarin E ClarkbergSumanta BasuCasey L Cazer

covid-19county settingscommunicable diseasesinfection controlcovid-19 pandemichealth caresyndromic surveillancesars-cov-2infectious diseases (medical specialty)disease surveillanceepidemic intelligencepreventive medicinepublic healthpublic health preparednessepidemiology

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Sumanta Basu

Associate Professor

Cornell University

Affiliations

College of Computing and Information Science

Department of Statistics and Data Science

College of Agriculture and Life Sciences

Department of Computational Biology

Sumanta Basu is currently serving as a College Of Computing And Information Science Associate Professor at Cornell 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

Sumanta Basu

Cornell University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Co-Segmentation Algorithm to Predict Emotional Stress From Passively Sensed Mhealth Data. arXiv (Cornell University) (2025)

Kim, YounghoonBasu, SumantaBanerjee, Samprit

A Co‐Segmentation Algorithm to Predict Emotional Stress From Passively Sensed Mhealth Data. Statistics in Medicine (2025)

Younghoon KimSumanta BasuSamprit Banerjee

A Pathwise Coordinate Descent Algorithm for Lasso Penalized Quantile Regression. arXiv (Cornell University) (2025)

Kim, SangheeBasu, Sumanta

PROLONG: Penalized Regression for Outcome Guided Longitudinal Omics Analysis With Network and Group Constraints. Bioinformatics (2025)

Steve BrollSumanta BasuMyung Hee LeeMartin T Wells

A High-Dimensional Approach to Measure Connectivity in the Financial Sector. The Annals of Applied Statistics (2024)

Sumanta BasuSreyoshi DasGeorge MichailidisAmiyatosh Purnanandam

Hierarchical Modeling of Irregularly Spaced Financial Returns. Stat (2024)

Sreeram AnantharamanNalini RavishankerSumanta Basu

Integrative Analysis of Differentially Expressed Genes in Time-Course Multi-Omics Data Withmint-De. Research Square (Research Square) (2024)

Hao XueSofie DelbareMartin WellsSumanta BasuAndrew Clark

Modeling Multivariate Positive‐Valued Time Series Using R‐Inla. Applied Stochastic Models in Business and Industry (2024)

Chiranjit DuttaNalini RavishankerSumanta Basu

Regularized Estimation of Sparse Spectral Precision Matrices. arXiv (Cornell University) (2024)

Deb, NavonilKuceyeski, AmyBasu, Sumanta

Syndromic Surveillance Tracks Covid-19 Cases in University and County Settings: Retrospective Observational Study. JMIR Public Health and Surveillance (2024)

Lily Minh WassDerek O'Keeffe HoareGeorgia Elena SmitsMarwan OsmanNing ZhangWilliam KlepackLara ParrillaJefferson M BuscheMarin E ClarkbergSumanta BasuCasey L Cazer

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