Welcome to the Pharmaceutical Bioinformatics research group at Uppsala University

Principal Investigator: Ola Spjuth, Associate Professor.

Research focus: Intelligent systems with AI and machine learning in drug discovery and chemical safety

The Pharmaceutical Bioinformatics research group focuses on mathematical and statistical modeling, informatics and quantitative analysis of pharmacological systems. We develop methods, algorithms and software to study and model pharmaceutical interactions, and a key focus in the group is how artificial intelligence (AI) and machine learning can aid the drug discovery process; e.g. in drug screening and when studying drug toxicity, metabolism and resistance. We combine in silico and in vitro experiments at the cellular level, and have access to a robotized high-content imaging lab connected to a modern IT-infrastructure to manage and analyze large-scale data. We are involved in several national and international consortia and have a tight connection to the pharmaceutical industry, Uppsala University Hospital, and Science for Life Laboratory. See the Projects page for more information on our ongoing research projects.

We are an interdisciplinary team of researchers engaging in data-driven cell biology, aiming to develop autonomous biological laboratories where data drives decisions on what experiments should be done next, and where automation and AI modeling are core methodologies.

Latests Blog Posts

Postdoc position available: AI methods for decision making in automated biological laboratories

20 Feb, 2020. We are currently looking for an ambitious, highly motivated Postdoc with a good background in AI and an interest in automation with robotics in the field of life science, to join the research group of Assoc. Prof. Ola Spjuth (group website ...

Ola Spjuth presenting at SciLifeLab Chemical Biology Seminar Series

6 Feb, 2020. On Feb 6th 2020, Ola Spjuth held a presentation at Karolinska Institutet, Stockholm in the SciLifeLab Chemical Biology Seminar Series. Approx 50 people attended to this event organized primarily by Jordi Carreras Puigvert. The title of the ...

4 posters at the 10th Pharmaceutical Profiling Symposium

30 Jan, 2020. Our research group presented 4 posters at the 10th Pharmaceutical Profiling Symposium at Uppsala University, on January 30th, 2020. It was a very nice event with 150 registered participants, and talk from varying areas of profiling. Poster ...

Laeeq Ahmed successfully defended his PhD thesis: 'Scalable Analysis of Large Datasets in Life Sciences'

3 Dec, 2019. Today, Laeeq Ahmed who is affiliated with the group successfully defended his thesis, titled: “Scalable Analysis of Large Datasets in Life Sciences“ We congratulate Laeeq for his success and wish him well in his future career! ...

Ola Spjuth presenting at Swedish e-Science Academy 2019

16 Oct, 2019. Ola Spjuth gave an invited talk at the conference Swedish e-Science Adademy 2019 in Lund, Sweden on 16 October 2019. The title of the talk was: Towards Automated AI-guided Drug Discovery Labs. Abstract High-content microscopy in automated ...

Marco Capuccini successfully defended his PhD thesis: Enabling Scalable Data Analysis on Cloud Resources with Applications in Life Science

10 Oct, 2019. Today, Marco Capuccini from the group successfully defended his thesis, titled: “Enabling Scalable Data Analysis on Cloud Resources with Applications in Life Science“ CONGRATULATIONS MARCO! Supervisor: Assoc Prof. Ola Spjuth, ...

Open position: PhD Project in Cell Biology with a focus on Intelligent Automation

7 Oct, 2019. We are looking for an ambitious, highly motivated PhD student with a good background in cell biology as well as interest in molecular biology, high-throughput screening, automation and bioinformatics. The successful candidate will join an i ...

More blog posts ...

Latest publications

Towards reproducible computational drug discovery Schaduangrat N, Lampa S, Simeon S, Gleeson MP, Spjuth O, Nantasenamat C. Journal of Cheminformatics 12:9 (2020)

On-demand virtual research environments using microservices Capuccini M, Larsson A, Carone M, Novella JA, Sadawi N, Gao J, Toor S, Spjuth O. PeerJ Computer Science 5:e232 (2019)

One thousand plant transcriptomes and the phylogenomics of green plants One Thousand Plant Transcriptomes Initiative. Nature 574: (2019)

Split Knowledge Transfer in Learning Under Privileged Information Framework Gauraha, N., Söderdahl, F. and Spjuth, O.. Proceedings of Machine Learning Research (PMLR) 105: (2019)

More publications »

Latest presentations

Towards automated phenotypic cell profiling with high-content imaging
Chemical Biology Seminar Series, Stockholm. Feb 2020
Towards Automated AI-guided Drug Discovery Labs
Swedish e-Science Academy 2019, Lund. Oct 2019
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
8th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2019), Varna. Sep 2019
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Latest posters

Automating Cell Profiling of Drugs with Cell Painting
10th Pharmaceutical Profiling Symposium, Uppsala. Jan 2020
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