Richard is an applied infectious diseases statistician based in Oslo, Norway. He is currently employed as the project manager for the Norwegian Syndromic Surveillance System (NorSySS), a surveillance system of infectious diseases based on consultations with general practitioners and out-of-hours primary care facilities, based in the Norwegian Institute of Public Health (Folkehelseinstituttet). His international field experience includes performing needs assessments in Sri Lanka and developing/managing surveillance systems for Ebola in Sierra Leone, acute watery diarrhea/cholera in Mozambique, and maternal health in Palestine.


Education / Statistics

Harvard University, USA

2011–2012 / Ph.D. in Biostatistics

2009–2011 / M.A. in Biostatistics (Frank Knox fellowship)

University of Wollongong, Australia

2005–2009 / B. Advanced Mathematics in Applied Statistics (First Class Honours)

Education / Humanities

University of Bergen, Norway

2022–2023 / One year program (Årsstudium) in Nordic languages and literature


  • R (15+ years)
  • STATA (10+ years)
  • Docker (5+ years)
  • CI/CD (5+ years)
  • Python (1 year)
  • Kubernetes (1 year)


  • English (Fluent)
  • Norwegian (B2)

Scientific production

Norwegian Institute of Public Health (NIPH/FHI)

Project Manager — Norwegian Syndromic Surveillance System (NorSySS)

02.2023–now / Oslo, Norway

  • Project manager for NorSySS, a surveillance system of infectious diseases based on consultations with general practitioners and out-of-hours primary care facilities. Complex statistical analyses are automatically run for all locations in Norway, producing reports and alerting various stakeholders.
  • Technology in use includes:
  • Surveils 80+ syndromes.
  • Organized the 2023 Northern European Symposium on Automated Surveillance.

Technical Lead — Sykdomspulsen: Real-Time Surveillance

07.2019–01.2023 / Oslo, Norway

  • Tech lead for Sykdomspulsen (8-person team), a real-time analysis and disease surveillance system. Complex statistical analyses were automatically run for all locations in Norway, producing reports and alerting various stakeholders.
  • Responsible for training, mentoring, supervision, and quality assurance of statistical methods and code.
  • Technology in use included:
    • Kubernetes.
    • Docker/Podman.
    • CI/CD (Jenkins/GoCD/ArgoCD).
    • Apache Airflow.
    • R/Python.
  • Surveilled:
    • All cause/cause-specific/attributable mortality (part of the EuroMOMO network).
    • Vaccine associated mortality.
    • Covid-19.
    • Influenza.
    • Tuberculosis.
    • IPD.
    • Meningococcal disease.
    • Pertussis.
    • Antibiotic use and healthcare associated infection (NOIS-PIAH).
    • Gastritis.
    • 80+ syndromes via the Norwegian Syndromic Surveillance System (NorSySS).
  • Interactive website for municipal health authorities (Sykdomspulsen for kommunehelsetjenesten).
  • APIs for internal/external use.
  • 1 000 000+ analyses per day.
  • 1 000+ automatic reports (pdf/excel/email/sms) per day.

Infectious Diseases Statistician — Infectious Disease Epidemiology

06.2014–06.2019 / Oslo, Norway

  • Advised outbreak teams and researchers in statistical concepts, methods, and programming.
  • Statistical supervisor for five fellows of the European Programme for Intervention Epidemiology Training (EPIET) and nine PhD students:
    • Answered statistical questions.
    • Ensured that the statistical methods chosen by them in their projects were correct.
    • Mentoring and supervising them in statistics.
    • Quality assurance of statistical analyses in peer-reviewed publications.
  • Developed statistical protocol for a 60 000-person longitudinal study regarding Norwegian water usage.
  • Modelled the 2014 Ebola outbreak to estimate the likelihood of a case flying to Norway and the subsequent usefulness of entry screening in Oslo airport.
  • Modelled the burden of HCV in Norwegian people who inject drugs.
  • Head statistician on the data monitoring committee (DMC) for the:
    • PEEP RCT in Haydom, Tanzania.
    • Safer Births Moyo RCT in Muhimbili, Tanzania.
  • Developed surveillance reports (and all relevant infrastructure and code for signal processing) in the format of interactive websites for:
    • Gastritis and upper-respiratory outbreaks using the Norwegian Syndromic Surveillance System (NorSySS).
    • Outbreaks using the notifiable disease registry (MSIS).
    • All cause/cause-specific/attributable mortality (part of the EuroMOMO network).

Statistician/Postdoc — Genes and Environment

01.2012–05.2014 / Oslo, Norway

  • Developed database management structures to allow for the construction of analysis datasets from multiple disparate sources (e.g. written questionnaires, lab toxicant concentrations, Illumina microbial data).
  • Investigated the relationship between seasonality, sunlight, and suicide.
  • Investigated the relationship between gun ownership and completed suicide in the US, highlighting the lack of method substitution where gun ownership is less prevalent.

Consortium for Statistics in Disease Surveillance (CSIDS)


01.2023–now / Oslo, Norway

  • Overseeing the collaboration between statisticians, epidemiologists, and researchers, working on the development of R packages used for disease surveillance.

Norwegian Red Cross (NorCross)

Head Statistician (IFRC)

04.2024–05.2024 / Oslo, Norway

  • Head statistician (remote) for a 1800-household multi-sector nationwide needs assessment, in response to the complex humanitarian emergency in Sri Lanka.
  • Developed statistical protocol for all sectors, and analyzed most of the data

Health Officer (IFRC)

08.2022–09.2022 / Colombo, Sri Lanka

  • Head statistician for a 3100-household multi-sector nationwide needs assessment (annex), in response to the complex humanitarian emergency in Sri Lanka.
  • Developed statistical protocol for all sectors, questions for the health sector, and analyzed most of the data.

Community Based Surveillance Delegate (IFRC)

04.2019–05.2019 / Beira, Mozambique

  • Responded to a cholera outbreak.
  • Managed a real-time surveillance system for people with diarrhea visiting Red Cross oral rehydration points as a part of the response to the cholera outbreak in Beira caused by Cyclone Idai.
  • Liaised with the MOH on issues of interest, such as serious cases of diarrhea and self-reported bloody diarrhea.

Palestinian National Institute of Public Health (PNIPH)


09.2017–09.2019 / Ramallah, Palestine

  • Trained local staff in data management and statistical programming for the national maternal and child health registry.
  • Used raw survey data to validate indicators from the newly formed national healthcare worker registry.

World Health Organization (WHO)

GIS Expert/Data Manager — Global Outbreak Alert and Response Network (GOARN)

01.2015—02.2015 / Kambia, Sierra Leone

  • Responded to the 2013–2016 Western African Ebola virus epidemic.
  • Developed and managed a real-time surveillance system for the Ebola outbreak in Kambia, linking the national emergency number, Ebola holding centers, Ebola community care centers, Ebola treatment centers, and burials.
  • Geocoded and mapped relevant outbreak data (alerts, cases, border crossings).
  • Generated daily sitreps using GIS data and epidemiological information from the surveillance database.
  • Trained and supervised international and national staff in the use of the Kambian Ebola surveillance system.

Biostatistician — Mortality and Burden of Disease

04.2011–11.2011 / Geneva, Switzerland

  • Collected cause of death data from multiple national cause of death registries into a database and calculated avoidable mortality estimates for disease groups over time, comparing trends in high income versus developing countries.
  • Produced disease prevalence estimates for the Global Burden of Disease project (GBD 2010), most notably for vision loss, micronutrient deficiency, and stunting for all UN member nations, in all sex/age combinations, from 1990 to 2010.

Biostatistician — Stop TB Department

06.2010–11.2010 / Boston, USA

  • Liaised with NGOs from South Africa, Uzbekistan, Bangladesh, and Peru to gain access to MDR-TB datasets, then managed, cleaned, and analysed the datasets.
  • Provided recommendations for the WHO Guidelines for the Programmatic Management of Drug Resistant Tuberculosis (3rd edition) via multi-cohort survival analyses to determine factors affecting detection of MDR-TB and survival in a programmatic context.