Address book
Contacts
LUCA PAGANI
Position
Professore Ordinario
Structure
Address
VIA U. BASSI, 58/B - PADOVA
Telephone
049 827 6290

Notices
Office hours
Sono disponibile per ricevimenti qualsiasi giorno nel mio studio (Terzo Piano Sud, Stanza 5, Polo Vallisneri), preferibilmente dal martedí al giovedí, previo appuntamento via email. / I am available at any time in my office (3rd Floor South, Room 5, Vallisneri Building), preferably between Tuesday and Thursday. Please drop me an email to arrange a meeting.
Teachings
- COMPUTATIONAL ANTHROPOLOGY, AA 2025 (SCP8085072)
- COMPUTATIONAL HUMAN EVOLUTION (MOD. B), AA 2025 (SCQ4105337)
- GENOMICS (I.C.), AA 2025 (SCQ4105335)
- MATERIALS PROPERTIES, USE AND CONSERVATION: MACROMOLECULES AND GENETICS, AA 2025 (SUQ1096659)
- MOLECULAR ANTHROPOLOGY, AA 2025 (SCQ2101381)
- MOLECULAR ANTHROPOLOGY, AA 2025 (SCQ2101381)
- COMPUTATIONAL ANTHROPOLOGY, AA 2024 (SCP8085072)
- COMPUTATIONAL HUMAN EVOLUTION (MOD. B), AA 2024 (SCQ4105337)
- GENOMICS (I.C.), AA 2024 (SCQ4105335)
- MATERIALS PROPERTIES, USE AND CONSERVATION: MACROMOLECULES AND GENETICS, AA 2024 (SUQ1096659)
- MOLECULAR ANTHROPOLOGY, AA 2024 (SCQ2101381)
- MOLECULAR ANTHROPOLOGY, AA 2024 (SCQ2101381)
- COMPUTATIONAL ANTHROPOLOGY, AA 2023 (SCP8085072)
- COMPUTATIONAL ANTHROPOLOGY, AA 2023 (SCP8085072)
- MATERIALS PROPERTIES, USE AND CONSERVATION: MACROMOLECULES AND GENETICS, AA 2023 (SUQ1096659)
- MOLECULAR ANTHROPOLOGY, AA 2023 (SCQ2101381)
- MOLECULAR ANTHROPOLOGY, AA 2023 (SCQ2101381)
Publications
ORCID: 0000-0002-6639-524X
Scopus Author ID: 49862154800
ResearcherID: G-8511-2017
https://scholar.google.co.uk/citations?user=2TYX99YAAAAJ&hl=en
Research Area
Molecular Anthropology, Human Population Genomics, Ancient DNA, Computational Genomics, Natural Selection, Human Biodemography.
Thesis proposals
Molecular Anthropology: genetic diversity in worldwide human populations (with particular focus on Estonian, Ethiopian and Italian populations); interaction of ancient and modern autosomic haplotypes; analyses of whole genome data available from the literature and recently published. Prior knowledge of at least one programming language (R, Python, Perl, C++..) and survival skills within a Unix environment are mandatory pre-requisites.