AeroLeads people directory · profile
Mark Bugden Email & Phone Number
Senior Data Scientist
at
Datamole
1 work email found
@dida.do
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 86%
Current company
Role
Senior Data Scientist
Location
Berlin, Germany
Company size
Who is Mark Bugden? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Mark Bugden is listed as Senior Data Scientist at Datamole, a with 73 employees, based in Berlin, Germany. AeroLeads shows a work email signal at dida.do and a matched LinkedIn profile for Mark Bugden.
Mark Bugden previously worked as Machine Learning Researcher at Dida Machine Learning and Postdoctoral Research Fellow at Max Planck Institute Of Animal Behavior. Mark Bugden holds Doctor Of Philosophy - Phd, Theoretical And Mathematical Physics from The Australian National University.
Company email context
Email format at Datamole
This section adds company-level context without repeating Mark Bugden's masked contact details.
{first}.{last}@dida.do
86% confidence
AeroLeads found 1 current-domain work email signal for Mark Bugden. Compare company email patterns before reaching out.
Profile bio
About Mark Bugden
Formerly a theoretical physicist (specialising in string theory and higher-dimensional black holes), and now exploring exciting new areas of research with machine learning and data science. I am also an enthusiastic science communicator, and interested in collaboration between scientists and other disciplines. As an example you can check out a science-art collaboration I participated in at: https://shirtyscience.com/collections/shirts/products/team-darkstar
Current workplace
Mark Bugden's current company
Company context helps verify the profile and gives searchers a useful next step.
Datamole
5 roles · 8 years
Mark Bugden work experience
A career timeline built from the work history available for this profile.
Machine Learning Researcher
Developing customised AI solutions, and bridging the gap between theoretical and practical.
Postdoctoral Research Fellow
A postdoc in the department of Collective Behaviour, mathematically modelling swarm behaviour using fluid mechanics and other continuum models. I used Machine Learning Algorithms and Physics-Informed Neural Networks to connect existing theoretical models with experimental data.
Jun 2021 - Apr 2023
Postdoctoral Research Fellow
A two year postdoc at Charles University in Prague. My research there was mostly in string theory, although I also worked on some black hole research as well.
2019 - 2021
~2 yrs
Postdoctoral Research Fellow
A short, 6-month postdoc to extend results of my Ph.D. research.
Sep 2018 - Mar 2019
Team & coworkers
Colleagues at Datamole
Other employees you can reach at datamole.cz. View company contacts for 73 employees →
LK
Lukáš Kusýn
Colleague at DatamoleBrno, South Moravia, Czechia, Czech Republic
View →
ŠP
Šimon Pokorný
Colleague at DatamolePrague, Czechia, Czech Republic
View →
TV
Tibor Vansa
Colleague at DatamolePrague, Czechia, Czech Republic
View →
ON
Ondřej Novák
Colleague at DatamolePrague, Czechia, Czech Republic
View →
DT
Dalibor Trapl
Colleague at DatamolePrague, Czechia, Czech Republic
View →
JL
Jan Lukány
Colleague at DatamolePrague Metropolitan Area, Czech Republic
View →
OŠ
Ondřej Šlejtr
Colleague at DatamolePrague, Czechia, Czech Republic
View →
AT
Adam Tapal
Colleague at DatamoleBrno Metropolitan Area, Czech Republic
View →
JP
Juraj Paluba
Colleague at DatamoleBrno, South Moravia, Czechia, Czech Republic
View →
NT
Nikola Turková
Colleague at DatamolePrague, Czechia, Czech Republic
View →
Lukáš Kusýn
Colleague at DatamoleBrno, South Moravia, Czechia, Czech Republic
View →
ŠP
Šimon Pokorný
Colleague at DatamolePrague, Czechia, Czech Republic
View →
TV
Tibor Vansa
Colleague at DatamolePrague, Czechia, Czech Republic
View →
ON
Ondřej Novák
Colleague at DatamolePrague, Czechia, Czech Republic
View →
DT
Dalibor Trapl
Colleague at DatamolePrague, Czechia, Czech Republic
View →
JL
Jan Lukány
Colleague at DatamolePrague Metropolitan Area, Czech Republic
View →
OŠ
Ondřej Šlejtr
Colleague at DatamolePrague, Czechia, Czech Republic
View →
AT
Adam Tapal
Colleague at DatamoleBrno Metropolitan Area, Czech Republic
View →
JP
Juraj Paluba
Colleague at DatamoleBrno, South Moravia, Czechia, Czech Republic
View →
NT
Nikola Turková
Colleague at DatamolePrague, Czechia, Czech Republic
View →
3 education records
Mark Bugden education
Doctor Of Philosophy - Phd, Theoretical And Mathematical Physics
Bachelor'S Degree, Physics
Bachelor'S Degree, Mathematics, First Class Honours In Advanced Mathematics
FAQ
Frequently asked questions about Mark Bugden
Quick answers generated from the profile data available on this page.
What company does Mark Bugden work for?
Mark Bugden works for Datamole.
What is Mark Bugden's role at Datamole?
Mark Bugden is listed as Senior Data Scientist at Datamole.
What is Mark Bugden's email address?
AeroLeads has found 1 work email signal at @dida.do for Mark Bugden at Datamole.
Where is Mark Bugden based?
Mark Bugden is based in Berlin, Germany while working with Datamole.
What companies has Mark Bugden worked for?
Mark Bugden has worked for Datamole, Dida Machine Learning, Max Planck Institute Of Animal Behavior, Charles University, and The Australian National University.
Who are Mark Bugden's colleagues at Datamole?
Mark Bugden's colleagues at Datamole include Lukáš Kusýn, Šimon Pokorný, Tibor Vansa, Ondřej Novák, and Dalibor Trapl.
How can I contact Mark Bugden?
You can use AeroLeads to view verified contact signals for Mark Bugden at Datamole, including work email, phone, and LinkedIn data when available.
What schools did Mark Bugden attend?
Mark Bugden holds Doctor Of Philosophy - Phd, Theoretical And Mathematical Physics from The Australian National University.
Find 750M verified contacts
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trialPeople with similar names
Check these profiles if this is not the Mark Bugden you were looking for.
View similar profiles
