Organisation och personal

Ola Spjuth

universitetslektor vid Institutionen för farmaceutisk biovetenskap, Forskning; Farmaceutisk bioinformatik

E-post:
ola.spjuth[AT-tecken]farmbio.uu.se
Telefon:
018-471 4281
Mobiltelefon:
070-4250628
Besöksadress:
Rum BMC D3:2 Uppsala biomedicinska centrum BMC, Husarg. 3
Postadress:
Box 591
751 24 UPPSALA

Kort presentation

Research interests includes data-intensive and translational bioinformatics with a particular focus on how modern e-infrastructures enables the studying of complex phenomena, and predictive modeling in pharmacology, toxicology, and metabolism.

Nyckelord: bioinformatics machine learning pharmaceutical bioinformatics predictive modeling predictive toxicology predictive metabolism

Mina kurser

Biografi


PhD in Bioinformatics from Uppsala University, 2009. Postdoctoral fellowships at Karolinska Institutet, Stockholm and Finnish Institute of Molecular Medicine (FIMM), Helsinki. Was co-director at the UPPMAX high performance computing center at Uppsala University 2011-2017, and Head of the Bioinformatics Compute and Storage facility at Science for Life Laboratory in Sweden 2011-2017. Currently employed as Senior Lecturer at Department of Pharmaceutical Biosciences in the fields of data-intensive and translational bioinformatics with a particular focus on how modern e-infrastructures enables the studying of complex phenomena, and predictive modeling in pharmacology, toxicology, and metabolism.

Forskning

High-throughput technologies have transformed biomedicine into a data-intensive discipline. This has shifted the focus from traditional data generation and hypothesis testing to more data-driven research, and bioinformatics data analysis has become the bottleneck in many projects. However, the field is characterized by growing data sets and poorly scalable software, threatening to severely constrain many biomedical projects. Our group aims at developing new methods and applications to meet the demands of high-throughput biology and drug discovery, using high-throughput and cloud-based e-infrastructures and Big Data analytics.

Publikationer

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