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Research Interests:
Algorithm Development, Bioinformatics, Machine Learning, Data Analysis, Bigdata, and Mathematical Modeling for Microbiology Applications. Major areas of focus: Prediction of antimicrobial resistance genes, development of machine learning algorithms to predict proteins secreted by pathogesn, and datamining bacterial genomes/proteomes.
For many years I pursued research on wave scattering from randomly rough surfaces which actually has many practical applications--from CGI to remote sensing to shallow water mine detection. However, I was doing very theoretical work, not applications, which involved trying to make judicious approximations to exact equations in order to make the resulting equations numerically tractable. There's a certain excitement to this work that's difficult to describe, but in the end, there's a lot of drudgery to it as well. There's more to it, but I suppose the bottom line is that I was just bored and needed a change. Most bored academicians probably don't make as radical a change as I did. Basically I went from being an applied physicist to becoming a virtual computer scientist working in the area of microbiology. However, this is the beauty of being in academia. There's nothing to stop you from changing your area of research. You have to do a lot of extra work, and you pay a real price in terms of giving up summer support until you're able to bring in research funding in your new area which is truly a challenge, but you're still getting paid and still productive. I don't know of any other job that allows such intellectual freedom.
Algorithm Development, Bioinformatics, Machine Learning, Data Analysis, Bigdata, and Mathematical Modeling for Microbiology Applications. Major areas of focus: Prediction of antimicrobial resistance genes, development of machine learning algorithms to predict proteins secreted by pathogesn, and datamining bacterial genomes/proteomes.
For many years I pursued research on wave scattering from randomly rough surfaces which actually has many practical applications--from CGI to remote sensing to shallow water mine detection. However, I was doing very theoretical work, not applications, which involved trying to make judicious approximations to exact equations in order to make the resulting equations numerically tractable. There's a certain excitement to this work that's difficult to describe, but in the end, there's a lot of drudgery to it as well. There's more to it, but I suppose the bottom line is that I was just bored and needed a change. Most bored academicians probably don't make as radical a change as I did. Basically I went from being an applied physicist to becoming a virtual computer scientist working in the area of microbiology. However, this is the beauty of being in academia. There's nothing to stop you from changing your area of research. You have to do a lot of extra work, and you pay a real price in terms of giving up summer support until you're able to bring in research funding in your new area which is truly a challenge, but you're still getting paid and still productive. I don't know of any other job that allows such intellectual freedom.
研究兴趣
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EBioMedicine (2022): 103990-103990
Frontiers Bioinform. (2021): 749008
Special Interest Group on Bioinformatics, Computational Biologyno. 1 (2020): 1-5
The 1st International Electronic Conference on Microbiologyno. 7 (2020): 7
ACM SIGBioinformatics Recordno. 1 (2020): 1-5
Heather M. Fallquist,Jin Tao,Xiaoya Cheng, Sebastian Aguilar Pierlé,Shira L. Broschat,Kelly A. Brayton
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