The Laboratory of Biometrics deals with a wide range of fields of biometrics and bioinformatics. Because of the wide range of data and methods we deal with, the research topics in our laboratory are different from one another.
Here, we briefly introduce the research topics of our laboratory members. If you are interested in professors' work, please visit their own website.
Professor
To support future global population growth, productivity must increase at an accelerated rate through genetic improvements in crops and improved cultivation techniques. In order to tackle these problems, we are conducting methodological and empirical research to extract "knowledge" from a large amount of information on crops, such as genomes, gene expression, cultivation environment data, and image data, in order to improve agricultural productivity.
Associate Professor
I am an Associate Professor of Biometry in the Department of Agricultural and Environmental Biology at the University of Tokyo. My research focuses on quantitative genetics and phenomics, with applications in animal and plant breeding. I began my career as an Assistant Professor in the Department of Animal Science at the University of Nebraska-Lincoln before moving to Virginia Tech as an Assistant and then Associate Professor. I joined the University of Tokyo in January 2025 and am a faculty member in the Laboratory of Biometry and Bioinformatics. I received my Ph.D. from the University of Wisconsin-Madison, where I worked on kernel methods for predicting complex traits in animals and plants. In my spare time, I enjoy weight training and hiking. My favorite foods include sushi, oshiruko, amazake, and chanja.
Assistant Professor
I aim to advance data-driven breeding that improves the efficiency of plant breeding by utilizing genomic and phenotypic data. I have worked on efficient collection of phenotypic data using UAVs and the development of breeding strategies for producing new varieties based on genome data. In the future, I would like to contribute to the development of new plant varieties as well.
What are everyone's sensibilities and preferences? I am doing research to summarize individual sensitivities and preferences with collective knowledge. Advances in information technology have made it easier to conduct statistical research, which was previously costly or impossible. I want to reveal the commonality and individuality of human sensibilities and preferences.
Developing genetic analysis methods, such as linkage analysis, QTL analysis, and GWAS, based on statistical genetics.
I like to think about algorithms, and I'm working on an OSS field notebook app.
I work on a statistical model for phenotypic prediction and on decision support tool for breeders using AI.
Statistician, visiting researcher from the MIA Paris lab of INRA/AgroParisTech/University Paris Saclay. Research topics include spatial statistics, bayesian modelling, extreme value statistics, machine learning. Application fields include digital soil mapping, plant endemicity, food risk analysis and smart agriculture.
My research aims to elucidate the relationship between plant growth, genome, and environment by analyzing the genome information of larch.
My research aims to realize data-driven crop management in potato cultivation through UAV-based high-throughput phenotyping (HTP).
I am attempting to model plant physiology and rhizospheric microorganisms by trans-omics analysis. I would like to elucidate plant systems using statistical methods. I am a music lover, and recently I have been listening to The Cure.
I am studying about the analysis of plants using genealogical information.
I would like to learn the knowledge that uncover the principles of plant growth. Hope I can do a little favor for those who have more ability to improve agricultural productivity.
I am conducting research on comparative study of Japanese larch in Yamanashi and Hokkaido using remote-sensing methods.
I am conducting research on various genome-assisted breeding methods to efficiently develop new plant varieties. Currently, my focus is on Perilla frutescens (red perilla), a medicinal plant, to optimize breeding strategies and crossing designs.
Tree vigor plays an important role in fruits tree. I’m interested in its quantitative evaluation and its application to breeding program.
My theme is the methods that can improve crop yield prediction through deep learning and transfer learning, based on crop models.
Recently, I am also interested in Nature Positive and Regenerative Agriculture.
I am working on image recognition and planning to use QTL analysis to determine whether there are genes correlated with our observed trait.
I am studying the genetic influence of differences in growth rate among varieties of shiso after it has been harvested.
I am working on nonlinear model-based correction of data acquired from drones using hand-measured data.
Information on our alumni can be found in the "Former member" section.