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.
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.
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.
Fruit trees take many years to cross breed. In order to improve the efficiency of fruit tree breeding, we are studying breeding methods using genomic information.
I like to think about algorithms, and I'm working on an OSS field notebook app.
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.
You will be assisting with administrative tasks such as accounting management.
Ph.D course students
Hello, I am the international student from Taiwan. My research interest is mainly in modelling biological systems. The ongoing research is the modeling of rice heading using integrated approach.
I work on a statistical model for phenotypic prediction and on decision support tool for breeders using AI.
I am using image analysis to obtain useful data on lignin for breeding.
What relationship can be found between the response in the above-ground stromal area of the plant and the response in the underground roots? I am doing research using soybean omics data.
Which individuals should be selected / crossed? I'm working on the development of a framework that optimizes the behavior in the breeding scheme over a long-term selection. I also develop new methodologies for optimizing genomic selection (GS) and genome-wide association studies (GWAS).
My research aims to elucidate the relationship between plant growth, genome, and environment by analyzing the genome information of larch.
Special Research Student
PhD Student in Graduate School of Science and Engineering, Iwate University. Research interest includes Deep Learning, Machine Learning. Currently, working on genomic prediction modeling using Deep Learning.
Master course students
The goal of my research is to develop a multifaceted plant measurement method using sensor fusion. Also, I love baseball.
The aim is to predict plant growth using field data acquired by drones and deep learning.
I am studying the relationship between wavelength information obtained by a multi-spectral camera and other traits of soybean.
I am studying about the analysis of plants using genealogical information.
I am studying the countermeasure for "Japanese oak wilt" using deep learning method, remote-sensing data acquired by drones and satellites, and also field data.