Kate Hu

About

Kate Hu is an Assistant Professor in the Department of Statistics at The Ohio State University, having joined the department in 2024. She holds a PhD in Biostatistics from the University of Washington, Seattle, earned in 2014, and a Bachelor of Science in Biochemistry from the University of Hong Kong, obtained in 2006. Her professional background includes roles as Head of Data Science at Aclima, Inc. and Senior Data Scientist at Climate LLC, both climate-tech companies based in San Francisco. Her research focuses on various areas within statistics, including the use of auxiliary information, cost-effective study design, Z-estimation, and proximal causal inference, particularly in environmental data contexts. Her applied research interests encompass precision agriculture, epidemiology, climate hazards, and designing environmental monitoring networks. Her academic work involves semiparametric inference, empirical processes, two-phase sampling, and causal inference with environmental data, with a specific interest in automating asymptotic analysis. She has also explored proximal causal inference with environmental data during her postdoctoral research at Harvard University. Kate Hu's research style is problem-driven, emphasizing the formulation and solution of real-world problems using approaches such as Bayesian, frequentist, machine learning, or semiparametric models, depending on the specific problem. She is open to supervising students interested in inference problems with…

Research topics

• Biology
• Cell biology
• Biochemistry
• Biophysics
• Chemistry
• Cancer research
• Genetics
• Molecular biology

Selected publications

• GLUT12 functions as a basal and insulin-independent glucose transporter in the heart

  Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · 2012-10-04 · 84 citations

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• MOG1 Rescues Defective Trafficking of Na _v 1.5 Mutations in Brugada Syndrome and Sick Sinus Syndrome

  Circulation Arrhythmia and Electrophysiology · 2013-02-19 · 59 citations

  articleOpen access

  BACKGROUND: Loss-of-function mutations in Na(v)1.5 cause sodium channelopathies, including Brugada syndrome, dilated cardiomyopathy, and sick sinus syndrome; however, no effective therapy exists. MOG1 increases plasma membrane (PM) expression of Na(v)1.5 and sodium current (I(Na)) density, thus we hypothesize that MOG1 can serve as a therapeutic target for sodium channelopathies. METHODS AND RESULTS: Knockdown of MOG1 expression using small interfering RNAs reduced Na(v)1.5 PM expression, decrea…

  PublisherOA PDFDOI

• Regulation of protein kinase C-epsilon and its age-dependence

  Biochemical and Biophysical Research Communications · 2016-12-03 · 37 citations

  articleSenior authorCorresponding
  PublisherDOI

• Molecular mechanism underlying adenosine receptor-mediated mitochondrial targeting of protein kinase C

  Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · 2011-12-31 · 36 citations

  articleSenior authorCorresponding
  PublisherDOI

• Functional interaction of the two-pore domain potassium channel TASK-1 and caveolin-3

  Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · 2017-06-23 · 20 citations

  articleSenior authorCorresponding
  PublisherDOI

Frequent coauthors

• Zhaogang Yang

  China Rehabilitation Research Center

  31 shared

• Sandro L. Yong

  University of British Columbia

  25 shared

• Cuntai Zhang

  Tongji Hospital

  25 shared

• Xiaofen Wu

  25 shared

• Qiuyun Chen

  First People's Hospital of Kunshan

  25 shared

• Susmita Chakrabarti

  Cleveland Clinic Lerner College of Medicine

  25 shared

• Qing Wang

  Jiangsu Academy of Agricultural Sciences

  25 shared

• Ling Wu

  25 shared

Labs

• Kate Hu LabPI

Similar researchers at Ohio State University

• Michelle Eversonh-22
• Eloise Kaizarh-17
• Radu Herbeih-15