Dipartimento di Ingegneria
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Current Position
PhD Student, University of Paris 7, France and University of Pavia, Italy
Academic Degree
| 2010 | Laurea (BS thesis) Statistics and Informatics for Management at La Sapienza University of Rome, Italy. |
| 2013 | Laurea Specialistica (MS degree) in Statistical and Decision Sciences at La "Sapienza" University of Rome, Italy. Thesis: A nonlinear mixed-effects model to study Alzheimer’s disease progression |
Appointments
| 2013 - today |
This PhD is part of the Drug and Disease Model Resource (DDMoRe) project, more specifically for package WP6.2. |
| 2012-2013 | Intern as Bio-statistician in Novartis Pharma AG, Basel, Switzerland |
Research Interests
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The main research topics are: Model-Based adaptive optimal design in pharmacometrics using model averaging approaches with application in oncology |
Publications
Articles in peer-reviewed journals
Lestini G, Mentré F, Magni P.
Optimal design for informative protocols in xenograft tumor growth inhibition experiments in mice.
AAPS J. 2016
Swat MJ, Moodie S, Wimalaratne SM, Kristensen NR, Lavielle M, Mari A, Magni P, Smith MK, Bizzotto R, Pasotti L, Mezzalana E, Comets E, Sarr C, Terranova N, Blaudez E, Chan P, Chard J, Chatel K, Chenel M, Edwards D, Franklin C, Giorgino T, Glont M, Girard P, Grenon P, Harling K, Hooker AC, Kaye R, Keizer R, Kloft C, Kok JN, Kokash N, Laibe C, Laveille C, Lestini G, Mentré F, Munafo A, Nordgren R, Nyberg HB, Parra-Guillen ZP, Plan E, Ribba B, Smith G, Trocóniz IF, Yvon F, Milligan PA, Harnisch L, Karlsson M, Hermjakob H, Le Novère N
Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development.
CPT: pharmacometrics & systems pharmacology 2015, 4, 316-319.
Lestini G, Dumont C, Mentré F
Influence of the Size of Cohorts in Adaptive Design for Nonlinear Mixed Effects Models: An Evaluation by Simulation for a Pharmacokinetic and Pharmacodynamic Model for a Biomarker in Oncology.
Pharmaceutical Research 2015, 32, 3159-3169.
Posters
Lestini G, Ueckert S, Mentré F. Model-based optimal robust design in pharmacometrics. PAGE 2016 Abstr 5794 [Internet]. Available from: [www.page-meeting.org/?abstract= 5794]
Lestini G., Mentré F, Magni P. Optimal design for informative protocols in xenograft tumor growth inhibition models. The American conference of Pharmacometrics (ACoP) October 4 – 7, 2015 in Crystal City, VA 2015
Lestini G., Mentré F, Magni P. Optimal design for informative protocols in xenograft tumor growth inhibition models. PAGE 2015 Abstr 3431[Internet]. Available from: [www.page-meeting.org/?abstract=3431]
Lestini G., Domunt C., Mentré F. Two-stage adaptive designs in nonlinear mixed-effects models: an evaluation by simulation for a pharmacokinetic/pharmacodynamic model in oncology. The American conference of Pharmacometrics (ACoP) October 12th – 15th, 2014 Las Vegas, Nevada,
Mentré F, Thu Thuy N, Lestini G, Dumont C, PFIM group. PFIM 4.0: new features for optimal design in nonlinear mixed effects models using R. PAGE 2014 Abstr 3032 [Internet]. Available from: [http://www.page-meeting.org/default.asp?abstract=3032]
Lestini G., Domunt C., Mentré F. Two-stage adaptive designs in nonlinear mixed-effects models: an evaluation by simulation for a pharmacokinetic (PK) and pharmacodynamic (PD) model in oncology. PAGE 2014 Abstr 3168 [Internet]. Available from: [http://www.page-meeting.org/default.asp?abstract=3168]
Documentation
PFIMInterface4.0 (http://www.pfim.biostat.fr/download/PFIMInterface4.0_UserGuide.pdf)
PFIM4.0 Documentation of Examples (http://www.pfim.biostat.fr/download/PFIM4.0_Examples.pdf)