WE ARE

DATA

NETWORK

PASSIONATE

SCIENTISTS

Our mission is to translate fundamental research in data and network science into lasting impact in the social, human, policy, and business context.

FEATURED NEWS

SERVICES

Consulting

Comprehensive consulting from identifying statistical, data science and network science problems in business, human and social sciences through experimental design and using appropriate mathematical methods, to interpreting the results.

Research

Research collaboration on developing new statistical, data science and network science methods for solving problems emerging in business, human & social sciences, analyzing data, developing predictive analytic models, social network analysis, other quantitative and applied mathematical methods.

Education

Off-site training meeting client needs in quantitative methods, statistics, data science, machine learning and network science: theoretical education and workshops about softwares and programs as well.

PROFESSIONAL AWARDS
PROJECTS
PUBLICATIONS
CITATIONS
TDK THESES
SENT EMAILS

REFERENCES

Nokia Solutions and Networks Ltd.
Long-lasting successful research and development projects in anomaly detection and natural language processing.
Educational Development Informatics
Developing machine learning tools to assist students in the transition from high school to university.
SDA Informatics
Developing dashboards for educational decision-makers and creating decision-support systems for stakeholders in higher-education.
Translational Medicine Center
Predicting the severity of acute pancreatitis based on data that are available at the time of hospitalization.
eNET – Internet Research and Consulting Ltd.
Predictive analytics of college students' success.
CryptoSoft
Consulting on product integration of the tools of AI and machine learning.
Enrawell Consulting Ltd.
Developing predictive model for the labour market.
Aarhus University - Clinical Epidemiology
Training in machine learning for biostatisticians.

PARTNERS

HumanField Executive and Specialist Search Ltd.
The largest Hungarian recruitment agency supports us with their domain expertise in our projects about HR data analytics and labor market analysis.
Statistics and Mathematical Modeling Consulting Group
The Statistics Consulting Group based at the Department of Stochastics at BME provides us methodological support in statistical analysis.

MEDIA PARTNERS

OUR TEAM

Dr. Roland Molontay Team leader
Dr. Marcell Nagy Deputy team leader
József Pintér PhD student
Csaba Kiss PhD student
Donát Köller PhD student
Artúr Vlaszov Junior research fellow
Maria Amaro Erasmus Visiting Student Researcher
Ece Titiz Erasmus Visiting Student Researcher
Béla Bálint Bachelor student
Bertold Pál Bachelor student

AFFILIATES

Dr. Mihály Szabó Education management expert
Bálint Csabay Education technology expert
Dr. Kitti Varga Mathematician
Máté Baranyi PhD Student
Noémi Horváth Developer
Kate Barnes Fulbright Visiting Student Researcher
Gergely Lukáts Research assistant
Olivier Guin Research assistant
Romain Lesauvage Research assistant
Zoltán Barabás Master student
Ágota Benyhe Master student
Júlia Bergmann Master student
Dániel Horváth Master student
Botond Kiss Master student
Dóra Szekrényes Master student
Klaudia Zeleny Master student
Dániel Prokaj PhD student
László Mikolás Master student
Rita Csoma Bachelor student
Nóra Stumphauser Master student
Bálint Turi-Kováts Master student
Péter Sári Research assistant
Mátyás Vincze Master student
Kristóf Gál Research assistant
Safwan Idris Research assistant
Flórián Kaczúr Intern
Eszter Kaló Administrative Assistant
Enikő Zakar-Polyák Master student
Ahmed Bannour Intern
Fares Ghezal Intern
Talha Sahin Intern
Gwen Billy Erasmus visiting student researcher
Róbert Magyar Master student
Levente Murgás Master student

CONTACT INFORMATION

If you are interested in the services of the HSDSLab or if you would like to join our group, then feel free to send an email to Roland Molontay, the team leader of the group, whose address is molontay@math.bme.hu.

Contact Address

1111 Budapest
Egry József utca 1

Phone

+36 1 463-5669