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.
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.
Ph.D course students
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.
My research aims to elucidate the relationship between plant growth, genome, and environment by analyzing the genome information of larch.
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 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.
Master course students
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.
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.
My research project is to predict the yield of tomatoes using image analysis. Tomato color, number and size are used to predict yield. If we can predict the yield in a week, it will be easier to decide where and how much tomatoes to sell; if we can predict the yield in a month, it will possiale to take measures to prevent food loss.
I am conducting QTL analysis and further research using data collected from Shiso for breeding.
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 working on a tool to help breeders improve the design of breeding campaigns using bayesian optimization. This project is a continuation of Julien Diot's PhD .
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.