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Sebastian Pineda

Sebastian Pineda
I am a PhD student with a research focus on chemical mixture exposure and effects within the children, adolescent, and mother demographics of the Swedish population. I mainly use computational statistics approaches to fulfil this work.


The PhD thesis is titled: Understanding chemical mixtures exposure and combination toxicity effects - A computational statistics approach'.

There are currently 5 planned projects/papers for this thesis:

  1. Exposure of adolescents to heavy metals, presistent organic pollutants, and rapidly excreted toxic subtsances in Sweden - the national survey Riksmaten Asolescents 2016-17
  2. Differences in chemical mixture exposure and associated determinants between different demographic groups of Swedish Adolescents
  3. Using machine-learning models to predict dioxin-like PCBs, PCDDs, and PCDFs in mothers milk from non-dioxin PCBs with comparison to standard methods.
  4. Combination toxicity of POPs in pregnancy. Influence on birth out-comes
  5. Combination toxicity of chemical substances/elements in children/adolescents. Vaccination antivodies as markers of immune function.


For the majority of the PhD projects, we are collaborating with the Swedish Food Agency for providing us with the RMU cohort and multiple laboratories (Stockholm University, Lund University, Finnish institute for health & welfare) doing the analysis of samples.

I am also currently collaborating with a team from Umea for project 3 where we are investigating different machine-learning models that can best predict dioxin-like PCBs, PCDDs and PCDFs in mother’s milk.


I have a masters degree in Infection Biology from Uppsala University and a bachelors degree in Microbiology from Nottingham Trent University. I have been working in a large range of projects prior to this PhD with focuses including campylobacter, salmonella, hantavirus, zika virus, epidemiology, insect ecology, agricultural plant ecology, tree husbandry/pests and prion diseases.


I have self-taught myself programming using R and Python which I use on a near-daily basis for my PhD work.


My PhD supervisor is Anders Glynn.

Selected publications

Projects 1 and 2 are near full manuscript completion and will be published here when accepted.


Doctoral Student at the Department of Biomedical Science and Veterinary Public Health; Pharmacology and Toxicology Unit
Telephone: +4618673479
Postal address:
BVF, Avd för farmakologi och toxikologi, Box 7028
Visiting address: Ulls väg 26, Uppsala