Matthias Lalisse

Matthias Lalisse received his Ph.D. in Cognitive Science (Neural Networks) from Johns Hopkins University and works in Machine Learning.

By this expert

Big Money, Party Politics, and Congressional Leadership in the 2026 Election: From the Rockies to the Himalayas

Article | Oct 11, 2026

In the 2026 midterms, congressional leaders of both parties are drawing huge shares of money from million-dollar donors, while small donors barely register. New data trace the rise of mega-donor and dark-money financing and what it means for party politics.

Big Money, the Maine Senate Race and US Party Competition: A Tale in Two Pictures

Article | Jun 30, 2026

What can one Senate race reveal about the hidden machinery of American politics? In Maine, donor patterns expose how campaign finance can shape party competition, political narratives, and the choices voters are asked to make long before ballots are counted.

Move Fast and Break Everything: Crypto and the Democrats

Article | Jan 13, 2026

After FTX’s collapse, crypto looked finished. Yet Washington revived it, culminating in Trump’s GENIUS Act and a surprising Democratic shift. How did money and affluence predict pro-crypto votes, amid widening deregulation and cyber risk?

Move Fast and Break Everything: Crypto, Democrats and Deregulation

Paper Working Paper | | Jan 2026

After FTX’s collapse, crypto looked finished. Yet Washington revived it, culminating in Trump’s GENIUS Act and a surprising Democratic shift. How much did money and affluence predict pro-crypto votes, amid widening deregulation and cyber risk?