Experience

  1. Expert in Statistical Methodology

    Novo Nordisk

    Responsibilities:

    • Development and implementation of innovative statistical methodology for the enrichment of clinical trials with real-world data sources and for the transportability and generalizability of research data
    • Expert statistician for quantitative evidence synthesis, data fusion, HTA and observational science
    • Knowledge-sharing, training and mentoring in statistical methodology, in general and in relation to clinical projects
    • Cross-functional interactions with upper management and stakeholders to explain the added value generated by new methodologies
    • Establishment of external research collaborations and engagement with academia, scientists, regulators and policy-makers
    • Representation of Novo Nordisk internationally at relevant cross-industry working groups and conferences
    • Driving initiation of industrial master thesis/PhD/post-hoc collaborations as well as scientific publications

  2. Lead Medical Affairs Statistician

    Bayer Pharmaceuticals

    Responsibilities:

    • Leadership in statistical input to life-cycle management strategies, publication plans, reimbursement requirements, HTA studies and analyses for payers across several therapeutic areas
    • Leadership of global cross-functional teams to generate publications, presentations and posters
    • Scientific appraisal of non-randomized study proposals and protocols; statistical and methodological consultation to multi-disciplinary teams
    • Development and implementation of innovative statistical methodology for payer and reimbursement needs
    • Oversight of HTA regulations and methodological guidance
    • Leadership in scientific strategies for real-world evidence projects and causal inference research initiatives among statisticians and epidemiologists
    • Oversight of the accurate and timely delivery of statistical work outsourced to external collaborators such as HEOR providers
    • Development of collaborations with academic experts and co-supervision of research projects/partnerships with universities

  3. Statistical Consultant (contract)

    Hospital for Sick Children (SickKids)
    Development of internal methodological guidance on indirect treatment comparisons for the Canadian Agency for Drugs and Technologies in Health (CADTH).

  4. Statistical Consultant (contract)

    ICON plc
    Development of cure survival modelling methodology for immunotherapy trials in oncology.

  5. Statistical Consultant (contract)

    IQVIA
    Survival analysis, meta-analysis, indirect treatment comparisons, systematic literature reviews, statistical support for submission of evidence dossiers to HTA authorities (NICE and SMC), health economic modelling, mixed models, discrete event simulation, Markov modelling, utility mapping, Bayesian analysis, preparation of conference abstracts and manuscripts for publication of research papers.

  6. Graduate Teaching Assistant

    London School of Economics and Political Science
    Taught modules on Statistical Models and Data Analysis and Applied Regression to statistics undergraduates.

  7. Graduate Teaching Assistant

    University College London
    Taught a module on Introductory Statistical Methods and Computing to life sciences undergraduates. Co-supervisor for MSc research projects. Development of R and Stan programming material for a course in Bayesian methods in health economics.

  8. Research Intern

    Imperial College London
    Received a NERC grant to mine under-exploited plant information resources at the Royal Botanic Gardens, Kew. Explored global and regional biodiversity patterns using R and developed statistical models to estimate future species discovery rates and biodiversity hotspots.

Education

  1. PhD Statistical Science

    University College London
    Thesis on covariate adjustment for indirect treatment comparisons in the absence of head-to-head trials and with limited individual patient data. Supervised by Prof Gianluca Baio and Prof Anna Heath (University of Toronto) in the Statistics for Health Economic Evaluation research group at the Department of Statistical Science.
    Read Thesis

  2. MRes Financial Computing

    University College London
    Full 4-year (1+3) MRes+PhD scholarship (700 applicants for 15 positions) from the EPSRC Centre for Doctoral Training in Financial Computing and Analytics, a joint collaboration between UCL, LSE and Imperial College London. PhD-level courses in computational statistics. Advanced programming and software development modules in Python and C++.

  3. MSc Machine Learning

    University College London
    Dissertation on the hierarchical Bayesian modelling of decision-making tasks based at the Gatsby Computational Neuroscience Unit under the supervision of Oliver J. Robinson and Peter Dayan. Deep and reinforcement learning courses taught by Google DeepMind.

  4. BSc Mathematics and Physics

    University of Bath
Skills & Memberships
Technical Skills
R
Stan/BUGS/JAGS
SAS
Git
Excel
VBA
Memberships
PSI

Special Interest Groups: HTA, RWD

ASA

Health Technology Assessment Scientific Working Group, Biopharmaceutical Section

EFSPI/EFPIA

Estimands Implementation Working Group, late-phase estimands sub-team

ISPOR

Special Interest Groups: Statistical Methods in HEOR

Languages
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Spanish
100%
English
50%
French