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The Tien Mai

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The Tien Mai

Postdoctoral Fellow
Department of Mathematical Sciences
Faculty of Information Technology and Electrical Engineering

the.t.mai@ntnu.no
Sentralbygg 2, 1302, Gløshaugen
About Publications Teaching

About

My current postdoc, with Jo Eidsvik, focus on spatio-temporal modelling where the main research projects are from:
  • Center for Geophysical Forecasting (SFI-CGF) (https://www.ntnu.edu/cgf)
Prior joining NTNU, I did a postdoct in biostatistics with Jukka Corander at department of Biostatistics, University of Oslo.
 
Research topics:
  • State-space model: Kalman filtering
  • Statistical machine learning:  sparse regression; Transfer and Lifelong learning; low-rank matrix estimation and completion; Bayesian inference and PAC-Bayesian analysis.
  • Biostatistics: drug sensivetivity prediction with multi-omics data, heritability, genetic co-variability, bacterial GWAS.
Education:
  • PhD in statistics:
    CREST-ENSAE-ParisTech/Paris Saclay (Oct 2015 - June 2017)
    University College Dublin, Ireland (Jan 2014 - Sep 2015)
  • Master in Mathematics & Informatics, Université Paris 13, France (2013).
  • B.Sc in Mathematics, HCM City-University of Pedagogy, Vietnam (2011)
 

Competencies

  • Biostatistics
  • Machine learning
  • Markov Chain Monte Carlo
  • Multivariate statistical analyses
  • Statistical genomics

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2023

  • Mai, The Tien. (2023) From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. Entropy
    Academic article
  • Mai, The Tien. (2023) Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion. Metron
    Academic article
  • Mai, The Tien; Lees, John A; Gladstone, Rebecca Ashley; Corander, Jukka. (2023) Inferring the heritability of bacterial traits in the era of machine learning. Bioinformatics Advances
    Academic article
  • Mai, The Tien. (2023) On a Low-Rank Matrix Single-Index Model. Mathematics
    Academic article
  • Mai, The Tien. (2023) Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing. Mathematics
    Academic article

2022

  • Mai, The Tien. (2022) On Regret Bounds for Continual Single-Index Learning. Lecture Notes in Networks and Systems
    Academic article
  • Mai, The Tien; Alquier, Pierre. (2022) Understanding the Population Structure Correction Regression. Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)
    Academic article
  • Mai, The Tien. (2022) An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. Computational statistics (Zeitschrift)
    Academic article

2021

  • Mai, The Tien; Turner, Paul; Corander, Jukka. (2021) Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting. BMC Bioinformatics
    Academic article
  • Jarøy, Emilie Grimnes; Emblem, Ragnhild; Reims, Henrik Mikael; Mai, The Tien; Risa, Gabriel T.; Ougland, Rune. (2021) Evaluation of diagnostic factors used to refer children with constipation for rectal biopsies. International Journal of Colorectal Disease
    Academic article

2020

  • Lees, J.A.; Mai, The Tien; Corander, Jukka. (2020) Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions. mBio
    Academic article
  • Mai, The Tien; Rønneberg, Leiv; Zhao, Zhi; Zucknick, Manuela; Corander, Jukka. (2020) Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure. Lecture Notes in Computer Science (LNCS)
    Academic article

2017

  • Mai, The Tien; Alquier, P.. (2017) Pseudo-Bayesian quantum tomography with rank-adaptation. Journal of Statistical Planning and Inference
    Academic article

2016

  • Alquier, P.; Mai, The Tien; Pontil, M. (2016) Regret bounds for lifelong learning. Proceedings of Machine Learning Research (PMLR)
    Academic article

2015

  • Mai, The Tien; alquier, pierre. (2015) A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution. Electronic Journal of Statistics
    Academic article

Journal publications

  • Mai, The Tien. (2023) From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. Entropy
    Academic article
  • Mai, The Tien. (2023) Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion. Metron
    Academic article
  • Mai, The Tien; Lees, John A; Gladstone, Rebecca Ashley; Corander, Jukka. (2023) Inferring the heritability of bacterial traits in the era of machine learning. Bioinformatics Advances
    Academic article
  • Mai, The Tien. (2023) On a Low-Rank Matrix Single-Index Model. Mathematics
    Academic article
  • Mai, The Tien. (2023) Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing. Mathematics
    Academic article
  • Mai, The Tien. (2022) On Regret Bounds for Continual Single-Index Learning. Lecture Notes in Networks and Systems
    Academic article
  • Mai, The Tien; Alquier, Pierre. (2022) Understanding the Population Structure Correction Regression. Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)
    Academic article
  • Mai, The Tien. (2022) An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. Computational statistics (Zeitschrift)
    Academic article
  • Mai, The Tien; Turner, Paul; Corander, Jukka. (2021) Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting. BMC Bioinformatics
    Academic article
  • Jarøy, Emilie Grimnes; Emblem, Ragnhild; Reims, Henrik Mikael; Mai, The Tien; Risa, Gabriel T.; Ougland, Rune. (2021) Evaluation of diagnostic factors used to refer children with constipation for rectal biopsies. International Journal of Colorectal Disease
    Academic article
  • Lees, J.A.; Mai, The Tien; Corander, Jukka. (2020) Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions. mBio
    Academic article
  • Mai, The Tien; Rønneberg, Leiv; Zhao, Zhi; Zucknick, Manuela; Corander, Jukka. (2020) Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Mai, The Tien; Alquier, P.. (2017) Pseudo-Bayesian quantum tomography with rank-adaptation. Journal of Statistical Planning and Inference
    Academic article
  • Alquier, P.; Mai, The Tien; Pontil, M. (2016) Regret bounds for lifelong learning. Proceedings of Machine Learning Research (PMLR)
    Academic article
  • Mai, The Tien; alquier, pierre. (2015) A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution. Electronic Journal of Statistics
    Academic article

Teaching

TMA4285 Time series

TMA4250 Spatial statistics

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