ART

THE LAB

The BarabasiLab, also known as The Center for Complex Network Research at Northeastern University, has changed the way the world understands networks. For 25 years, under the leadership of Albert-László Barabási, the Lab has been developing the visual vocabulary of complexity based on the team’s pioneering research into a broad range of topics, from protein interactions to success in the art world. Their 2-D visualizations, 3-D data sculptures, and virtual reality environments have made complex scientific concepts approachable and relatable, offering a window into how the many systems that govern our world actually function. From the first simplistic diagrams to today’s elaborate aesthetic creations, the Lab’s visualization work has evolved into an expressive language that creates a new relationship between art and science.

TEAM

DIRECTOR

Albert-László Barabási

Albert-László Barabási is a network scientist, fascinated with a wide range of topics, from unveiling the structure of the brain to treating diseases using network medicine, from the emergence of success in art to how does science really works. His work has helped unveil the hidden order behind various complex systems using the quantitative tools of network science, a research field that he pioneered, and lead to the discovery of scale-free networks, helping explain the emergence of many natural, technological and social networks.

Albert-László Barabási spends most of his time in Boston, where he is a Distinguished University Professor of Network Science at Northeastern University, and holds an appointment in the Department of Medicine at Harvard Medical School. But he splits his time with Budapest, where he runs an European Research Council project at Central European University. A Hungarian born native of Transylvania, Romania, he received his Masters in Theoretical Physics at the Eötvös University in Budapest, Hungary and Ph.D. three years later at Boston University.

Barabási’s latest book is The Formula (Little Brown, 2018). He is the author of “Network Science” (Cambridge, 2016). "Linked" (Penguin, 2002), and "Bursts:" (Dutton, 2010) He co-edited Network Medicine (Harvard, 2017) and "The Structure and Dynamics of Networks" (Princeton, 2005). His books have been translated in over twenty languages.

BOOKS

Researchers

Rodrigo Dorantes Gilardi

Associate Research Scientist

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Ting-Ting Gao

Postdoctoral Research Associate

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Bnaya Gross

Postdoctoral Research Associate

Anne Kavalerchik

Postdoctoral Research Associate

Michael Sebek

Associate Research Scientist

Visiting Scientists & Professors

Lucía Prieto Santamaría

Assistant Professor | Universidad Politécnica de Madrid

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Staff

Anya Marrufo-Zubaran

Administrative Operations Manager

Peter Ruppert

Entrepreneur in residence

James Stanfill

Senior Grants and Operations Manager

Students

Csaba Both

PhD Student

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Joseph Ehlert

PhD Student

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Cory Glover

PhD Student

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Garo Kerdelian

PhD Student

Yixuan Liu

PhD Student

Jonah Spector

PhD Student

Design Team

Csaba Both

PhD Student

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Jacopo Conti

Research Assistant

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Tina Rosado

Data Visualization Specialist

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AFFILIATED LABS

LAB ALUMNI

Abel Elekes

Alexei Vazquez

Amal Al-Hussieni

Aming Li

Amitabh Sharma

Andres Aldana Gonzalez

Andrew McCallum

Ayan Chatterjee

Babak Ravandi

Baruch Barzel

Benjamin Piazza

Brett Common

Burcu Yucesoy

Chaoming Song

Chen Bingsheng

Christian De Frondeville

Dakota Murray

Daria Koshkina

Dashun Wang

Deisy Morselli Gysi

Eivind Almaas

Emma Towlson

Emre Guney

Enzo Battistella

Erzsabet Ravasz

Farzaneh Nasirian

Feixiong Cheng

Gang Yan

Georgios Tsekenis

Giulia Menichetti

Gourab Ghoshal

Han Zhuang

Hillel Sanhedrai

Isaac Donnelly

Istvan Kovacs

Italo Do Valle

James Bagrow

Janos Kertesz

Jessica Louie

Jianxi Gao

Jie Li

Joaquim Aguirre Plans

Jody Fisher

Jose Brum

Jose Gama Oliveira

Joseph De Nicolo

Joshua Erndt-Marino

Juliet Blanco

Junming Huang

Khaled Mohammed Saifuddin

Kim Albrecht

Kimmo Kaski

Kishore Vasan

Liang Gao

Liping Chi

Louis Shekhtman

Makim Makeev

Maksim Kitsak

Marcio De Menezes

Maria Elena Renda

Marton Posfai

Mauro Martino

Maximilian Schich

Michael M. Danziger

Michael Tashman

Michele Coscia

Michelle Toups

Mohammad Ameli

Nicholas Blumm

Nikolett Mihaly

Nima Dehmami

Onur Varol

Pedro M. Cruz

Philipp Havel

Pierre Deville

Pu Wang

Qing Jin

Qing Ke

Rasoul R. Rajaei

Reka Albert

Rogini Runghen

Ronaldo Menezes

Sarah Morrison

Sean P. Cornelius

Sebastian Ahnert

Sebastian Ruf

Shany Ofaim

Soodabeh Milanlouei

Soon-Hyung Yook

Stefan Wuchty

Sune Lehmann

Suzanne Aleva

Tao Jia

Trevor Gillespy

Ursula Widocki

Vedran Sekara

Wei Chen

Xiangyi Meng

Yanchen Liu

Yasamin Khorramzadeh

Yifang Ma

Yong-Yeol Ahn

Zalan Forro

Zehui Qu

Zoltan Dezso

Zuezhong Zhou

 

 

 

 

JOBS

Jan. 1, 2025

Postdoctoral Research Associate

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SUMMARY: The lab of Professor Albert-Laszlo Barabasi is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine learning/AI, and science of science, as well as quantifying art. The BarabasiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease progression, biomarker discovery, and drug repurposing, as well as understanding the emergence of impact in art and science. The BarabasiLab is also looking for Postdoctoral Research Associates in the areas of network medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with the Harvard Medical School and Brigham and Women's Hospital.

RESPONSIBILITIES: 

The Postdoctoral Research Associate will

  • Assist with initiating, executing, and completing clinical research and experiments
  • Prepare and write research papers, presentations, grant proposals, etc.
  • Assist with laboratory management; and training graduate students.


QUALIFICATIONS:

PhD required in nutrition, bioinformatics, physics, computer science, mathematics, or statistics or related field. The BarabasiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from a network perspective. The ideal candidate has working experience in network science/bioinformatics and ML/AI/DL.

APPLICATION INSTRUCTIONS: Interested candidates should submit an application with the following files included:

  • a current CV with publication lists
  • a brief statement of research experience and interests
  • two letters of recommendation ( can be sent separately by the writers to: ccnrpostdoc@gmail.com )

Submit an Application     

PRESS

Artnet News: Want to Succeed as an NFT Artist?

What is the blueprint for market success? A new study of Foundation finds some hints in the data.

New York Times: The Hidden World of NFTs

The Art Market Often Works in Secret. Here’s a Look Inside.

Artnet News: In a World Where Decisions Are Driven by Data

Our columnist looks at some data-based scandals from other fields - and argues that "Dataism" might help art avoid the same fate.

NYT: What to See in N.Y.C. Galleries Right Now

Want to see new art in New York this weekend? Start in Chelsea to catch a retrospective of photographs by Diane Arbus that caused a sensation in the 1970s. Then head to Do Ho Suh's latest anti-monumental exhibition. And don't miss Albert-Laszlo Barabasi and Fernanda Gomes in SoHo.

Northeastern's Barabasi Receives Prestigious Prize from the American Physical Society

The American Physical Society selected Northeastern University professor Albert-László Barabási to receive the 2023 Julius Edgar Lilienfeld Prize for his innovative work on the statistical physics of networks.

Albert-Laslo Barabasi: Nutritional Dark Matter

Albert-László Barabási is an author, physicist and world renowned network theorist. Vance and Laszlo discuss the many aspects of networks, how ideas spread into society, and why they are useful for modeling various types of systems. They also discuss 'nutritional dark matter' and what networks can teach us about nutrition's impact on total health.

Why the World Needs 'Dataism,' the New Art Movement That Helps Us Understand How Our World Is Shaped by Big Data

The head of the scientist-and-artist collective BarabasiLab reflects on the transformative power of data in art.

OP-EDS