Harri Lähdesmäki - Associate Professor (tenured) in computer science at Aalto University

• Department of Computer Science
• Aalto University School of Science
• Finnish Center for Artificial Intelligence (FCAI)
  

Contact

• Office: B358, Computer Science building
• Postal address: PO Box 15400, FI-00076 Aalto, Finland
• Street address: Konemiehentie 2, FI-02150 Espoo, Finland
• Email: harri.lahdesmaki at aalto.fi
  

Research

I am leading the Computational Systems Biology research group that focuses on

• probabilistic machine learning
• deep generative models
  
• computational biology
• applications in health and disease

More information about our research can be found on the group web page.

Publications

An up-to-date list of publications can be found on the group web page.

Teaching

I primarily contribute to the following programs:

• Master’s Programme in Life Science Technologies
• Master’s Programme in Computer, Communication and Information Sciences (CCIS)
• Bioinformation Technology B.Sc. program

and majors:

• Bioinformatics and Digital Health M.Sc. major (responsible Professor)
• Machine Learning, Data Science and Artificial Intelligence (Macadamia) M.Sc. major
  

I am organizing/have organized/given lectures in the following courses:

2023-2024:

• Spring 2024 (periods IV-V), CS-E5890 - Statistical Genetics and Personalised Medicine
  
• Spring 2024 (period III), CS-E5885 Modeling Biological Networks 
  
• Fall 2023 (period II), CS-E5875 High-Throughput Bioinformatics
• Fall 2023 (period I), lecture in JOIN-E3100 Life Science Technologies Project Course A
  

- 2022:

• Spring 2023 (period III), CS-E5885 Modeling Biological Networks 
  
• Fall 2022 (period II), CS-E5875 High-Throughput Bioinformatics
• Spring 2022, CS-E5890 Statistical Genetics and Personalized Medicine
• Spring 2022, CS-E4075 Special Course in Machine Learning, Data Science and Artificial Intelligence:
  Deep generative modeling (together with Dr. Manuel Haussman)
• Spring 2022, CS-E5885 Modeling Biological Networks
• Fall 2021, CS-E5875 High-Throughput Bioinformatics
• Spring 2021, CS-E5885 Modeling Biological Networks
• Fall 2020, invited lecture on "AI in Immunology" in Advanced Immunobiology course (PROV-407)
  
• Fall 2020, CS-E5875 High-Throughput Bioinformatics
  
• Spring 2020 (periods IV-V), CS-E5890 Statistical Genetics and Personalized Medicine
  
• Spring 2020 (period III), CS-E5885 Modeling Biological Networks 
  
• Fall 2019 (period II), CS-E5875 High-Throughput Bioinformatics
• Spring 2019 (periods IV-V), CS-E4880 Machine Learning in Bioinformatics
  
• Spring 2019 (period III), CS-E5885 Modeling Biological Networks 
  
• Fall 2018 (period II), CS-E5875 High-Throughput Bioinformatics
• Spring 2018 (periods IV-V), CS-E5890 Statistical genetics and personalized medicine 
  
• Spring 2018 (period III), CS-E5880 Modeling biological networks 
  
• Fall 2017 (period II), CS-E5870 High-throughput bioinformatics
• Spring 2017, CS-E5890 Statistical genetics and personalized medicine [course web page]
• Fall 2016, CS-E5880 Modeling biological networks [course web page]
• Fall 2016, CS-E5870 High-throughput bioinformatics [course web page]
• Spring 2016, T-61.5110 Modeling biological networks [course web page]
• Spring 2015, T-61.9910 Special Course in Computer and Information Science:  Seminar on Markov chain Monte Carlo [course web page] 
  
• Spring 2015, T-61.5110 Modeling biological networks [course web page]
• Fall 2014, T-61.6070 Special Course in Bioinformatics I: Computational methods for epigenomic data analysis [course web page]
• Spring 2014, T-61.6070 Special Course in Bioinformatics I: Computational methods in biomedicine and personalised medicine [course web page]
• Fall 2013, T-61.5110 Modeling biological networks [course web page]
• Fall 2012, T-61.5110 Modeling biological networks [course web page, archive]
• Spring 2012, T-61.6070 Special Course in Bioinformatics I: Statistical analysis methods for next-generation sequencing data [course web page, archive]
• Fall 2011, T-61.5110 Modeling biological networks [course web page, archive]
• Spring 2011, T-61.6070 Special Course in Bioinformatics I: Modeling molecular control mechanisms [course web page, archive]
• Fall 2010, T-61.5110 Modeling biological networks [course web page]
• Fall 2009, T-61.5110 Modeling biological networks [course web page]
• TISE Summer School 2009 on Statistical Modeling and Machine Learning in Computational Systems Biology [web page]
• Spring 2009, T-61.6070 Special Course in Bioinformatics I: 
  Learning and Inference in Dynamic Models of Biological Networks [course web page, archive]
• Fall 2008, SGN-9406 Signal Processing Graduate Seminar IV [course web page]
• Fall 2008 - Spring 2009, SGN-6906 Seminar on Signal Processing for Systems Biology [presentations]
• Spring 2008, SGN-6156 Computational Systems Biology II, [course web page]
• Fall 2007, SGN-9406 Signal Processing Graduate Seminar IV, 2007-2008 [course web page]
• Spring 2005, 8001612 Statistical Methods for Microarray Data Analysis, spring 2005
  (replaces 8001600 Signal Processing for Systems Biology) [course web page] 
• Spring 2003 - Autum 2004, 8009400 Seminar on Signal Processing for Systems Biology, [presentations]
• Spring 2004, 8001600 Signal Processing for Systems Biology (SPSB), two lectures
  
  • lecture March 3, 2004, slides [pdf]
  • lecture April 14, 2004, slides [pdf]

• Spring 2002, 80507 Johdatus signaalinkäsittelyyn 2, harjoitukset 
• Fall 2001, 80508 Johdatus signaalinkäsittelyyn 1, harjoitukset 
• Fall 2001, 8005290 Signaalinkäsittelyn perusteet, harjoitukset 
• Fall 2001, 80917 Graduate Research Seminar / TICSP presentations, course assistant, [presentations]

Updated Oct 19, 2023