Akhil Arora
Assistant Professor at Copenhagen Center for Social Data Science (SODAS)
Aarhus, Central Denmark Region
Summary
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Senior🎓
Top SchoolAkhil Arora is an Assistant Professor of Computer Science at Aarhus University and head of CLAN, specializing in NLP, human-centered AI, graph machine learning, and causal inference to build next-generation information systems that aid knowledge seeking. He holds a PhD from EPFL and is a fellow at SODAS with formal collaboration ties to the Wikimedia Foundation, where he has applied causal methods to study Wikipedia’s visibility dynamics across 300+ languages. Before academia he spent nearly five years in industry research at Xerox and American Express, producing scalable ML systems for fraud, customer analytics, and enterprise knowledge graphs that delivered measurable business impact. His past work on influence maximization earned SIGMOD recognition and a Most Reproducible Paper Award, while his doctoral projects produced highly efficient tools like Eigenthemes and PARIS+ that challenge neural baselines on speed and memory. Known for bridging theory and practice, he combines large-scale systems engineering with careful causal evaluation—a blend that surfaces subtle real-world effects often missed by purely predictive models. He is actively recruiting motivated PhD students to join his lab.
9 years of coding experience
12 years of employment as a software developer
Secondary Education, Secondary Education at Jeevan Marg Sophia Secondary School, DeoriaIndian Institute of Technology KanpurHigher Secondary Education, Higher Secondary Education at Modi Public School, KotaBachelor of Engineering (B.E.) Computer Science and Engineering, Bachelor of Engineering (B.E.) Computer Science and Engineering at Institute of Technology and Management,GurgaonDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at EPFL
English, Hindi, Punjabi, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
python8
data-science7
data-analysis7
machine-learning6
sampling3
graphsage2
entity2
graph1
pytorch1
nlp1
deep-learning1
evaluation1
Programming languages (2)
Github contributions (5)
epfl-ada/2019
Oct 2019 - Sep 2020
Materials for Applied Data Analysis CS-401, fall 2019)
Contributions:28 commits, 21 pushes in 11 months
data-analysispythonfalldata-sciencemachine-learning
akhilarora/ironcrow
Mar 2017 - Nov 2021
Contributions:2 pushes, 1 branch in 4 years 9 months
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