Organized sessions

Advances in Bayesian Methods for Complex Data , the 36th New England Statistics Symposium, (NESS: 2023).

Advances in Bayesian methods for medical data , Bayesian Young Statisticians Meeting: Online, (BAYSM:O 2020).

Invited talks

Invited in the session “Faculty Speed Talks” , The Ohio State Univerisity Division of Biostatistic, The Ohio State Univerisity, Columbus, OH, USA .

Invited in the session “Bayesian models and computations for complex bio-environmental data”, Computational and Methodological Statistic, (CMStatistics 2023), HTW Berlin, University of Applied Sciences (Wilhelminenhof campus), Berlin, Germany.

Invited in the session “Recent advances in R software development: innovative tools and practical applications”, the 36th New England Statistics Symposium, (NESS: 2023), Boston, USA.

Invited in the session “Flexible Bayesian modelling for biostatistics”, Computational and Methodological Statistic, (CMStatistics 2022), King’s colledge, London, UK.

Invited speaker in the Biostatistics Seminars of the Fall 2022, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Online.

Invited in the session “Using external data in adaptive clinical trial design” , at ISBA world meeting 2021, (ISBA 2021), Online.

Invited in the session “Bayesian non parametrics methods for classification” , at the Classification and Data Analysis Group conference, (CLADAG 2021), Online.

Invited in the session “Recent developments in Bayesian methodology” , the 13th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2020), Online.

Inference in clinical trials when the patient population is subject to changes over time , Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital & Harvard Medical School.

Invited in the topic contributed session: “Statistical innovation in regulatory science” , Joint Statistical Meeting of the American Statistical Society, (JSM 2020), Online.

Contributed talks

Bayesian optimal sequential futility decisions via auxiliary endpoints , International Biometric Conference, (IBC 2020), Accepted for contributed oral Presentation (selected among 700 submissions). Canceled due to COVID-19.

Scalable inference for network factor model, Advanced Statistics for Physics Discovery , Padova, Italy, September 24, 2018.

Multivariate mixed membership modeling: Inferring domain-specific risk profiles , (IBC2018), Barcellona, Spain, July 10, 2018. {}{}

Bayesian Inference on Group Differences in Multivariate Categorical Data , (COBAL V), Cimat, Guanajuato, Mexico, June 8, 2017.

Posters

Inference in response-adaptive clinical trials when the enrolled population varies over time , 2020 Global Conference on Regulatory Science, Online.

Inference in response-adaptive clinical trials when the enrolled population varies over time , ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop 2020, Online.

Inference in response-adaptive clinical trials when the enrolled population varies over time , DIA Regulatory Science Forum 2020, Online.

Inference in clinical trials when the patient population is subject to changes over time , HiTS Annual Symposium, Boston, MA, USA, October 21, 2019.

Soft classification tree ensemble of Higgs pair production, Advanced Statistics for Physics Discovery , Padova, Italy, September 24, 2018.

Multivariate mixed membership modeling: Inferring domain-specific risk profiles , (ISBA 2018), Edinburgh, United Kingdom, June 29, 2018.

A multivariate mixed membership model for malaria risk detection , (Obayes2017), Austin, Texas, December 11, 2017.

Detecting Group Differences in Multivariate Categorical Data , (SIS2017), Florence, Italy, June 28, 2017.

Bayesian Inference on Group Differences in Multivariate Categorical Data , (ISBA2016), Sardinia, Italy, June 16, 2016.

Outreach & events

Regulatory Science Student & Faculty Mixer (October 2020): Online meeting with graduate and prospective students to discuss research opportunities.

Regsci Forum: Fellows Showcase. What the Harvard-MIT Center for Regulatory Science actually does? Wonder no more! (January 2020): Research presentation to describe the world of regulatory science to students.

Big data Biosensori e Biobanche , (December 2019):Presentation of my research at Università degli Study del Sannio.

Harvard-MIT Center for Regulatory Science Open House: Learn about RegSci and research opportunity , (September 2019): Meeting with Harvard graduate students to discuss research opportunities.

Volunteer for Venetonight – La notte dei ricercatori , Padova, Italy, (2015,2016 & 2017): Developed an online app interfacing with twitter to track and display in real-time the sentiment of the event.

Volunteer for StatisitcAll , Treviso, Italy (2015): Statistical games and activities to show the magic of statistics to kids and adults.

Volunteer at orientation days for high schools students, Scegli con noi . Campus Agripolis di Legnaro, Padova, Italy. (2015 & 2016).