Agentic AI for scientific and engineering design
Building agentic AI pipelines that integrate structured evidence, networks, embeddings, and expert judgment for scientific and engineering discovery.
Agentic AIScience of scienceMaterialsDevices
Networks, science, and AI across disciplines.
Trained as a physicist, I am an interdisciplinary researcher working across network science, science of science, artificial intelligence, and visual computing. I build networks, embeddings, and structured AI pipelines that connect evidence across scientific publications, technological designs, collaborations, and complex social and biological systems.
At Northwestern’s Center for Science of Science & Innovation, I study how ideas and technological capabilities develop: how fields change, how funding and collaboration shape discovery, and how research becomes useful technology. I combine large-scale data, network and language models, and domain knowledge. I also build open tools such as Helios Web to make these processes measurable, explorable, and useful.
Current research
All projects
Mapping how science is funded
Linking funding acknowledgments, organizations, and publications at scale to study how public, philanthropic, and corporate support shapes scientific directions, researcher trajectories, and the geography of knowledge production.
Science fundingData infrastructureEntity resolution
Technology capability maps
Developing embedding models that represent design choices and technical attributes, reveal interpretable directions aligned with measurable progress, and help predict how technological capabilities evolve across materials and device platforms.
Technology forecastingEmbeddingsMaterialsDesign spaces
Helios Web
A browser-first platform for interactive exploration of large networks and embedding spaces, combining GPU rendering, a WebAssembly graph store, real-time layouts, and analysis across browsers, notebooks, and desktop workflows.
Network visualizationWebGPUWebAssemblyEmbeddings
Recent publications
Full recordThe Tone of Awareness: Topic, Sentiment, and Toxicity Maps During Mental Health Month on TikTok
Henrique Ferraz de Arruda, Andreia Sofia Teixeira, Pranay Gundala Reddy, Anindya Mondal, Kleber Andrade Oliveira, Filipi Nascimento Silva
Recovering link-weight structure in complex networks with weight-aware walks
Adilson Vital, Filipi N. Silva, Diego Amancio
Heuristic and exact modularity optimization with size-constrained communities
Filipi N. Silva, Samin Aref, Vincent Traag, Santo Fortunato
From Node2Vec to GPT-based GraphRAG: scientific impact prediction across graph and language models
Adilson Vital, Filipi N. Silva, Diego Amancio
Network clustering algorithms and preprocessing pipelines for robust cell type identification in single-cell RNA sequencing data
Fatemeh Sadat Fatemi Nasrollahi, Filipi Nascimento Silva, Shiwei Liu, Soumilee Chaudhuri, Meichen Yu, et al.
Selected software
Software portfolio
Helios Web
Interactive network visualization at million-node scale
OpenAlex Networks
Turn OpenAlex queries into research networks
TP Similarity
Measure research-interest similarity with random walks