Ha Vu, Ph.D. Email and Phone Number
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I obtained my Ph.D. in Bioinformatics and Computational Biology, with skills in drug target identification using next generation sequencing (bulk and single-cell transcriptomic and epigenomics data) and statistical modeling. My current work focuses on modeling and integration of multi-omics data to study the regulatory mechanisms of Type 1 and Type 2 Diabetes. My broad research interests are gene regulation, gene regulatory networks and disease mechanisms.
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Lead BioinformaticianUniversity Of MichiganAnn Arbor, Mi, Us -
Lead BioinformaticianUniversity Of Michigan Oct 2023 - PresentAnn Arbor, Michigan, UsWorking in the Parker Lab and the Epigenomic Metabolic Medicine Center to study Type 1 and Type 2 Diabetes (T1D/T2D) mechanisms. My work focuses on integrating multi-omics data (e.g., single-cell/nucleus RNA-seq and ATAC-seq) with genetic variant data (e.g., GWAS and e/caQTL) to characterize the regulatory landscapes in tissues relevant to T1D/T2D, such as muscle and pancreatic tissues.
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Computational Biologist Research AssistantIowa State University Sep 2018 - Aug 2023Ames, Iowa, UsMajor advisor: Dr. Geetu Tuteja; Co-advisor: Dr. Karin Dorman.Research interests: High dimensional data analysis, clustering analysis, transcriptional regulation, human health.Working in the Tuteja Lab, I focused on modeling and integration of multi-omics data to study the regulatory landscapes governing early placenta development. In my first Ph.D. project, we utilized bulk RNA-seq data analysis and network analysis to obtain specific groups of genes that regulate placenta development. In my second project, I and collaborators developed a novel deep learning model to integrate signals across biological replicates to identify chromatin accessibility regions. My last Ph.D. project focused on integrating single cell RNA-seq and single nucleus ATAC-seq to characterize conservative regulatory elements between rat and human placenta. -
Teaching AssistantIowa State University Jan 2021 - May 2023Ames, Iowa, UsAssisted teaching in GEN 349: The Genome Perspective in Biology, Spring 2021. GEN 349 covers analysis of genome, RNA, and protein data using computer technology to answer biological questions on topics ranging from microbial diversity to human health. It is an introduction for students in the life sciences to the fields of genomics, bioinformatics and systems.My roles:- Co-hosted activity sections during classes.- Graded reading and computational biology assignments.
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Mathematics InstructorHanoi-Amsterdam High School For The Gifted Nov 2015 - May 2016Ha Noi, Hanoi, VnConducted curriculum and taught fifteen Grade 7 students, using large and small group activities and Singapore resource materials to advance Mathematics knowledge and prepare students for national and international Mathematics contests (e.g, Hanoi Open Math Competition, American Math Competition).
Ha Vu, Ph.D. Skills
Ha Vu, Ph.D. Education Details
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Iowa State UniversityAnd Computational Biology -
Hanoi National University Of EducationMathematics Education
Frequently Asked Questions about Ha Vu, Ph.D.
What company does Ha Vu, Ph.D. work for?
Ha Vu, Ph.D. works for University Of Michigan
What is Ha Vu, Ph.D.'s role at the current company?
Ha Vu, Ph.D.'s current role is Lead Bioinformatician.
What is Ha Vu, Ph.D.'s email address?
Ha Vu, Ph.D.'s email address is hv****@****ate.edu
What is Ha Vu, Ph.D.'s direct phone number?
Ha Vu, Ph.D.'s direct phone number is +151573*****
What schools did Ha Vu, Ph.D. attend?
Ha Vu, Ph.D. attended Iowa State University, Hanoi National University Of Education.
What skills is Ha Vu, Ph.D. known for?
Ha Vu, Ph.D. has skills like Mathematics, Research, Education, Mathematics Education, Management, Team Leadership, Object Oriented Programming, Data Analysis, Microsoft Office, Critical Thinking, Public Speaking, Time Management.
Who are Ha Vu, Ph.D.'s colleagues?
Ha Vu, Ph.D.'s colleagues are Mumu Chakraborty, Andrea Bear, Rachel Crutchfield, John Laird, Nancy Dixson, Amber Wang, Asher Isaacs.
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