import {Plot} from "@mkfreeman/plot-tooltip"
import {map} from "@martien/ramda"

papers_r = FileAttachment("../data/all_papers.json").json()
n_columns = Object.entries(papers_r["doi"]).length
index_array = Array.from({length: n_columns}, (_, i) => i)
papers = map(i => map(x => x[i], papers_r), index_array)

my_papers = papers.filter(function(p) {
    return p.authors.map(a => a.full_name).includes("Tristan Bereau")
})

  import {Plot as Plot} from "@mkfreeman/plot-tooltip"

  import {map as map} from "@martien/ramda"

papers_r = Object {doi: Object, title: Object, publication_date: Object, authors: Object, citation_count: Object, bib_entry: Object, abstract: Object, tldr: Object, year: Object, journal.name: Object, journal.url: Object, journal.issue: Object, journal.abbreviation: Object, journal.pages: Object, journal.volume: Object, open_access.is_open_access: Object, open_access.open_access_status: Object, open_access.landing_page_url: Object, open_access.pdf_url: Object, embedding.x: Object, …}

n_columns = 75

index_array = Array(75) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, …]

papers = Array(75) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]

my_papers = Array(75) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]

Tristan Bereau

current

group leader

X CV Github Google Scholar ORCID

Tristan heads the group. Besides from science and data, he enjoys spending time outside and playing jazz piano.

Experience

Professor @ Uni. Heidelberg | 2023 -

Quant @ IMC Trading | 2022

Assistant Professor @ Uni. Amsterdam | 2020 - 2021

Emmy Noether group leader @ Max Planck Institute for Polymer Research | 2014 - 2019

Postdoc @ Uni. Basel | 2012 - 2013

Education

PhD, Physics, Carnegie Mellon University | 2006 - 2011

BSc, Physics, Ecole Polytechnique Fédérale de Lausanne | 2003 - 2006

Group publications

Inputs.table(my_papers, {
    columns: [
    "doi",
    "title",
    "journal.name",
    "journal.volume",
    "journal.issue",
    "journal.pages",
    "year",
    "embedding.topic_name"
  ],
  header: {
    "journal.name": "journal",
    "journal.volume": "volume",
    "journal.issue": "issue",
    "journal.pages": "pages",
    "embedding.topic_name": "topic",
  },
  format: {
    doi: doi => htl.html`<a href=https://doi.org/${doi} target=_blank>${doi}</a>`,
    title: title => htl.html`${title}`,
    "journal.volume": volume => htl.html`<b>${volume}</b>`,
    year: year => htl.html`${year}`,
  },
  width: {
    "title": 10
  },
  layout: "auto",
})

doi	title	journal	volume	issue	pages	year	topic
10.1038/s41597-023-02501-8	Shared metadata for data-centric materials science	Scientific Data	10	1		2023	\| \|
10.1038/s41467-023-40663-6	Data-mining unveils structure–property–activity correlation of viral infectivity enhancing self-assembling peptides	Nature Communications	14	1		2023	sequence \| peptide \| growth
10.1021/acs.jctc.3c00201	Condensed-Phase Molecular Representation to Link Structure and Thermodynamics in Molecular Dynamics	Journal of Chemical Theory and Computation				2023	cardiolipin \| membrane \| permeability
10.1039/D3BM00412K	Inverse design of viral infectivity-enhancing peptide fibrils from continuous protein-vector embeddings	Biomaterials Science				2023	sequence \| peptide \| growth
10.1016/j.bpj.2022.12.004	Induced asymmetries in membranes	Biophysical Journal	122	11	2092-2098	2022	membrane \| lipid \| asymmetry
10.1021/acsfoodscitech.2c00251	Identifying Sequential Residue Patterns in Bitter and Umami Peptides	ACS Food Science & Technology	2	11	1773-1780	2022	peptide \| folding \| insertion
10.3389/fchem.2022.982757	Benchmarking coarse-grained models of organic semiconductors via deep backmapping	Frontiers in Chemistry	10			2022	model \| cg \| correlation
10.1063/5.0104914	Broad chemical transferability in structure-based coarse-graining	The Journal of Chemical Physics	157	10	104102	2022	model \| cg \| correlation
10.1039/D2CB00125J	CLiB – a novel cardiolipin-binder isolated <i>via</i> data-driven and <i>in vitro</i> screening	RSC Chemical Biology	3	7	941-954	2022	cardiolipin \| membrane \| permeability
10.1038/s41586-022-04501-x	FAIR data enabling new horizons for materials research	Nature	604	7907	635-642	2022	data \| materials \| md
10.1039/D2SC00116K	Data-driven discovery of cardiolipin-selective small molecules by computational active learning	Chemical Science	13	16	4498-4511	2022	cardiolipin \| membrane \| permeability
10.1021/acs.jpcb.1c05423	Multipolar Force Fields for Amide-I Spectroscopy from Conformational Dynamics of the Alanine Trimer	The Journal of Physical Chemistry B	125	39	10928-10938	2021	time \| ffcf \| scale
10.1063/5.0061875	Publisher’s Note: “Data-driven equation for drug–membrane permeability across drugs and membranes” [J. Chem. Phys. 154, 244114 (2021)]	The Journal of Chemical Physics	155	3		2021	\| \|
10.1063/5.0053931	Data-driven equation for drug–membrane permeability across drugs and membranes	The Journal of Chemical Physics	154	24		2021	cardiolipin \| membrane \| permeability
10.1016/j.bpj.2021.03.043	Finite-size transitions in complex membranes	Biophysical Journal	120	12	2436-2443	2021	membrane \| lipid \| asymmetry
10.1016/j.bpj.2021.04.025	Computer simulations of lipid regulation by molecular semigrand canonical ensembles	Biophysical Journal	120	12	2370-2373	2021	cardiolipin \| membrane \| permeability
10.1063/5.0042972	Reweighting non-equilibrium steady-state dynamics along collective variables	The Journal of Chemical Physics	154	13	134105	2021	reweighting \| systems \| dynamical
10.3390/membranes11040254	The Bacteriostatic Activity of 2-Phenylethanol Derivatives Correlates with Membrane Binding Affinity	Membranes	11	4	254	2021	membrane \| lipid \| asymmetry
10.1063/5.0039102	Adversarial reverse mapping of condensed-phase molecular structures: Chemical transferability	APL Materials	9	3	031107	2021	reweighting \| systems \| dynamical
10.1088/1361-648X/abe6e1	Dynamical properties across different coarse-grained models for ionic liquids	Journal of Physics: Condensed Matter	33	22	224001	2021	model \| cg \| correlation
10.1063/5.0031249	Coarse-grained conformational surface hopping: Methodology and transferability	The Journal of Chemical Physics	153	21		2020	landscape \| molecular \| freeenergy
10.1088/1361-651X/abd042	Computational compound screening of biomolecules and soft materials by molecular simulations	Modelling and Simulation in Materials Science and Engineering	29	2	023001	2020	data \| materials \| md
10.1088/2632-2153/abb6d4	Adversarial reverse mapping of equilibrated condensed-phase molecular structures	Machine Learning: Science and Technology	1	4	045014	2020	reweighting \| systems \| dynamical

Group collaborators

collaborators = Array.from(
    new Set(
        my_papers.flatMap(p => p.authors)
        .filter(function(a) {
            return a.full_name != "Tristan Bereau"
            }
        )
    )
)

list_of_collaborators = (
    Array.from(d3.group(collaborators, a => a.full_name).keys())
)
dict_of_collaborators = (
    collaborators.reduce(
        (acc, x) => (
            {...acc, [x.full_name]:
                {
                    "given": x.given,
                    "family": x.family,
                    "affiliation_city": x.affiliation.city,
                    "affiliation_name": x.affiliation.name,
                    "affiliation_country": x.affiliation.country,
                    "orcid": x.orcid,
                }
            }
        ),
        {}
    )
)

Inputs.table(
    list_of_collaborators.map(c => dict_of_collaborators[c]),
    {
        columns: [
            "given",
            "family",
            "orcid",
            "affiliation_country",
            "affiliation_city",
            "affiliation_name",
        ],
        header: {
            "affiliation_country": "country",
            "affiliation_city": "city",
            "affiliation_name": "affiliation",
        },
        multiple: false,
        sort: "family",
        layout: "fixed",
        format: {
            orcid: orcid =>
            htl.html`<a href=https://orcid.org/${orcid} target=_blank>${orcid}</a>`
        },
    }
)

collaborators = Array(267) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]

list_of_collaborators = Array(159) ["Luca M. Ghiringhelli", "Carsten Baldauf", "Sandor Brockhauser", "Christian Carbogno", "Javad Chamanara", "Stefano Cozzini", "Stefano Curtarolo", "Claudia Draxl", "Shyam Dwaraknath", "Ádám Fekete", "James Kermode", "Christoph T. Koch", "Markus Kühbach", "Alvin Noe Ladines", "Patrick Lambrix", "Maja-Olivia Himmer", "Sergey V. Levchenko", "Micael Oliveira", "Adam Michalchuk", "Ronald E. Miller", …]

dict_of_collaborators = Object {Luca M. Ghiringhelli: Object, Carsten Baldauf: Object, Sandor Brockhauser: Object, Christian Carbogno: Object, Javad Chamanara: Object, Stefano Cozzini: Object, Stefano Curtarolo: Object, Claudia Draxl: Object, Shyam Dwaraknath: Object, Ádám Fekete: Object, James Kermode: Object, Christoph T. Koch: Object, Markus Kühbach: Object, Alvin Noe Ladines: Object, Patrick Lambrix: Object, Maja-Olivia Himmer: Object, Sergey V. Levchenko: Object, Micael Oliveira: Object, Adam Michalchuk: Object, Ronald E. Miller: Object, …}

given	▴family	orcid	country	city	affiliation
Martin	Aeschlimann	0000-0003-3413-5029
Martin	Albrecht
Veerappan	Anbazhagan				Institute for Pharmacy and BiochemistryJohannes Gutenberg University 55128 Mainz Germany
Denis	Andrienko	0000-0002-1541-1377	DE	Mainz	Max Planck Institute for Polymer Research
Michael	Bachmann
Carsten	Baldauf	0000-0003-2637-6009
J. Wesley	Barnett				Department of Chemical Engineering, Columbia University, New York, NY, USA.
Marius	Bause	0000-0003-4105-8906
Brian	Benicewicz	0000-0003-4130-1232	US	Columbia	University of South Carolina
W. F. Drew	Bennett				Department of Chemistry, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada
Rüdiger	Berger	0000-0002-4084-0675
Connor	Bilchak	0000-0001-8815-1601
Mischa	Bonn	0000-0001-6851-8453
Yasemin	Bozkurt Varolgunes	0000-0002-9179-2458
Jan Gerit	Brandenburg	0000-0002-9219-2948	DE	Darmstadt	Merck KGaA
Sandor	Brockhauser	0000-0002-9700-4803	DE	Berlin	Humboldt-Universität zu Berlin
Hans-Joachim	Bungartz	0000-0002-0171-0712
Hans-Jürgen	Butt	0000-0001-5391-2618	DE	Mainz	Max Planck Institute for Polymer Research
Christian	Carbogno	0000-0003-0635-8364
Pierre-André	Cazade	0000-0002-6860-4658
Alessia	Centi	0000-0002-1883-9416
Javad	Chamanara	0000-0001-6390-1584	DE	Hannover	Leibniz Universität Hannover
Yanping	Chen