Amos Langat | Statistics | Research Excellence Award

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Assist. Prof. Dr. Amos Langat | Statistics | Research Excellence Award

Assist. Prof. Dr. Amos Langat | Statistics | Professor at Jomo Kenyatta University Of Agriculture And Technology | Kenya

Statistics Assist. Prof. Dr. Amos Langat is a highly accomplished mathematician, statistician, and academic researcher with strong regional and international engagement in applied and theoretical statistical sciences. Assist. Prof. Dr. Amos Langat holds a Doctor of Philosophy in Mathematics (Statistics), a Master of Science in Applied Statistics, and a Bachelor of Science in Economics and Mathematics, forming a solid interdisciplinary academic foundation. Professionally, Assist. Prof. Dr. Amos Langat has extensive teaching and research experience as a Senior Lecturer, Lecturer, Postdoctoral Research Fellow, Adjunct Research Scientist, and Research Fellow across leading institutions in Africa and Europe, contributing to capacity development, artificial intelligence applications, migration studies, public health analytics, and multidisciplinary research initiatives. His research interests center on statistics, applied statistical modeling, data analytics, econometrics, public health statistics, and AI-driven statistical methods. Assist. Prof. Dr. Amos Langat’s research skills include statistical inference, regression analysis, multivariate analysis, data modeling, academic publishing, and interdisciplinary research collaboration. He has been recognized through prestigious scholarships, including a Pan African University PhD Scholarship and a postgraduate scholarship for applied statistics, reflecting academic excellence and competitive merit. In conclusion, Assist. Prof. Dr. Amos Langat stands out as a forward-looking Statistics scholar whose strong research portfolio, teaching excellence, and international collaborations position him as a significant contributor to modern statistical science and evidence-based decision-making across academia and society.

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Featured Publications

Cancer Cases in Kenya: Forecasting Incidents Using Box & Jenkins ARIMA Model
A. Langat, G. Orwa, J. Koima – Biomedical Statistics and Informatics, 2017
Citations: 23
Stock Price Prediction Using Combined GARCH–AI Models
J. K. Mutinda, A. K. Langat – Scientific African, 2024
Citations: 21
High Plasma Soluble CD163 During Infancy as a Marker for Neurocognitive Outcomes in Early-Treated HIV-Infected Children
S. F. Benki-Nugent et al. – JAIDS: Journal of Acquired Immune Deficiency Syndromes, 2019
Citations: 16
Capital Asset Pricing Model: A Renewed Application on the S&P 500 Index
J. K. Mutinda, A. K. Langat – Asian Journal of Economics, Business and Accounting, 2024
Citations: 11
Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature
J. K. Mutinda, A. K. Langat, S. M. Mwalili – International Journal of Mathematics and Mathematical Sciences, 2025
Citations: 10
Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance
J. K. Mutinda, A. K. Langat – Asian Journal of Research in Computer Science, 2024
Citations: 10

Marian Mitroiu| Biostatistics | Best Researcher Award

Published on by Academic Achievements

 Dr. Marian Mitroiu| Biostatistics | Best Researcher Award

 Dr. Marian Mitroiu,Biogen,Switzerland

Dr. Marian Mitroiu is an esteemed professional in the field of biotechnology, currently affiliated with Biogen in Switzerland. With a robust background in (mention specific areas if known, e.g., neurology, immunology), Dr. Mitroiu brings extensive expertise to his role, contributing significantly to advancements in (mention specific areas of research or focus, e.g., neuroscience, rare diseases). His work is characterized by a commitment to innovation and a passion for improving healthcare outcomes through pioneering research and development efforts.

Author Profile

Scopus

Education

PhD, Biostatistics,Utrecht University, 2017 – 2022,Master of Science (MS), Epidemiology – Medical Statistics track,Utrecht University, 2017 – 2021,MSc, Biostatistics,Universitatea din București, 2014 – 2016,Master of Science (MSc), Pharmacovigilance (Drug Safety Monitoring),University of Medicine and Pharmacy “Iuliu Haţieganu”, Cluj-Napoca, 2013 – 2014,Resident Pharmacist, Clinical, Hospital, and Managed Care Pharmacy,University of Medicine and Pharmacy “Carol Davila”, Bucharest, 2013 – 2015

Experience:

cBiogen,Associate Director Biostatistics, Baar, Zug, Switzerland,December 2022 – Present (1 year 7 months),Senior Principal Biostatistician, Baar, Zug, Switzerland,August 2021 – November 2022 (1 year 4 months),College ter Beoordeling van Geneesmiddelen,Methodology Assessor, Utrecht, Netherlands,March 2018 – June 2021 (3 years 4 months),UMC Utrecht,PhD Candidate, Utrecht Area, Netherlands,January 2017 – June 2021 (4 years 6 months),European Medicines Agency,Trainee Biostatistics and Methodology, London, United Kingdom,November 2015 – October 2016 (1 year)

Skills:

  • Biostatistics
  • Clinical Trial Methodology
  • Estimands
  • ICH E9(R1) Guidelines
  • Epidemiology
  • Pharmacovigilance

Research Focus:

Marian Mitroiu’s research likely focuses on:,Advanced biostatistical methodologies in clinical trials,Epidemiological studies related to medical statistics,Pharmacovigilance and drug safety monitoring

Publications:

  • Simoneau, G., Mitroiu, M., Debray, T.P., Pellegrini, F., Moor, C.
    • Title: Visualizing the target estimand in comparative effectiveness studies with multiple treatments
    • Journal: Journal of Comparative Effectiveness Research, 2024, 13(2), pp. e230089
  • Leng, X., Leszczyński, P., Jeka, S., Addison, J., Zeng, X.
    • Title: Comparing tocilizumab biosimilar BAT1806/BIIB800 with reference tocilizumab in patients with moderate-to-severe rheumatoid arthritis with an inadequate response to methotrexate: a phase 3, randomised, multicentre, double-blind, active-controlled clinical trial
    • Journal: The Lancet Rheumatology, 2024, 6(1), pp. e40–e50
  • Kersten, R.F.M.R., Öner, F.C., Arts, M.P., de Gast, A., van Gaalen, S.M.
    • Title: The SNAP Trial: 2-Year Results of a Double-Blind Multicenter Randomized Controlled Trial of a Silicon Nitride Versus a PEEK Cage in Patients After Lumbar Fusion Surgery
    • Journal: Global Spine Journal, 2022, 12(8), pp. 1687–1695
  • Mitroiu, M., Teerenstra, S., Oude Rengerink, K., Pétavy, F., Roes, K.C.B.
    • Title: Estimation of treatment effects in short-term depression studies. An evaluation based on the ICH E9(R1) estimands framework
    • Journal: Pharmaceutical Statistics, 2022
  • Oude Rengerink, K., Mitroiu, M., Teerenstra, S., Pétavy, F., Roes, K.C.B.
    • Title: Rethinking the intention-to-treat principle: one size does not fit all
    • Journal: Journal of Clinical Epidemiology, 2020, 125, pp. 198–200
  • Mitroiu, M., Oude Rengerink, K., Teerenstra, S., Pétavy, F., Roes, K.C.B.
    • Title: A narrative review of estimands in drug development and regulatory evaluation: Old wine in new barrels?
    • Journal: Trials, 2020, 21(1), 671
  • Mitroiu, M., Rengerink, K.O., Pontes, C., Van Der Lee, J.H., Roes, K.C.B.
    • Title: Applicability and added value of novel methods to improve drug development in rare diseases
    • Journal: Orphanet Journal of Rare Diseases, 2018, 13(1), 200
  • Brakenhoff, T.B., Mitroiu, M., Keogh, R.H., Groenwold, R.H.H., van Smeden, M.
    • Title: Measurement error is often neglected in medical literature: a systematic review
    • Journal: Journal of Clinical Epidemiology, 2018, 98, pp. 89–97