Konstantinos (Kostas) Kritos
NASA Hubble Fellow, Department of Physics & Astronomy, Stony Brook University
NASA Hubble Fellow, Department of Physics & Astronomy, Stony Brook University
Photo credit: Pier Giuseppe Catinari
Hi! I’m Kostas, a NASA Hubble Fellow at Stony Brook University, working with Prof. Rosalba Perna. I study how black holes form and grow in dense star clusters and galactic nuclei, and what their mergers, tidal disruptions and gravitational waves tell us about the Universe.
I’m always happy to chat, whether you’re a student curious about black holes, a colleague with an idea, or someone trying out Rapster. Just email me: konstantinos.kritos@stonybrook.edu
Interested in black holes, star clusters and galactic nuclei, stellar dynamics, gravitational waves, or high-energy transients? I’m happy to talk with students about research projects, help anyone getting started with Rapster, and hear about collaboration ideas. No question is too basic, just send me an email.
Nov 2026 — Upcoming TAC Seminar at UC Berkeley: “Two in one: gravitational-wave and electromagnetic signals from dense stellar environments.”
Oct 2026 — Blackboard talk at the Black Hole Initiative, Harvard: “Dancing with the Black Holes: building heavy black holes in dense star clusters.”
Oct 2026 — Talk at the 2026 NASA Hubble Fellowship Program Symposium, Cambridge, MA: “One Environment, Two Signals: Linking Gravitational Waves and Micro-TDEs in Dense Star Clusters.”
Sep 2026 — Started as a NASA Hubble Fellow at Stony Brook University.
Sep 2026 — New paper: compact-object mergers and micro-tidal disruption events as a multi-messenger probe of dense stellar environments
Aug 2026 — Seminar at Stony Brook University: “From Small to Large: Black Hole Growth Across Ten Orders of Magnitude.”
2026 — Ph.D. in Physics, Johns Hopkins University.
2026 — Kritos & Silk, “From nuclear star clusters to Little Red Dots”, published in ApJ.
2026 — “Primordial Black-Hole-Based Pathways to Little Red Dots” published in Physical Review Letters (PRL 136, 231402).
2026 — “Milky Way Globular Clusters: Nurseries for Dynamically-Formed Binary Black Holes” published in A&A (A&A 708, A364).
May 2026 — New paper: predicting intermediate-mass black hole formation in star clusters with machine learning
Feb 2026 — New paper: Toward Black Hole Stars (now published in ApJ Letters).
Animation coming soon.
Illustrative animation; cluster evolution modeled with Rapster (K. Kritos).
Animation coming soon.
Simulated with SpaceHub (Y. Wang). Few-body simulation with SpaceHub: the star can be torn apart by its black-hole companion or by the supermassive black hole, or the pair splits, leaving the black hole captured while the star is flung out at high speed.
I developed Rapster (for "Rapid cluster"), a semi-analytic population synthesis code for evolving star clusters, the dynamical formation of compact object coalescences, and tidal disruption events. The code and documentation are publicly available on GitHub at Kkritos/Rapster.
How do black hole mergers and stars torn apart by black holes trace the same crowded environments? We connect gravitational-wave mergers with micro-tidal disruption events in star clusters.
Crowded star clusters are factories for merging black holes.
Star clusters are crowded places where black holes pair up, merge, and sometimes merge again. I built Rapster to simulate thousands of clusters in minutes (Kritos et al. 2024), and use it to predict eccentric, spinning and hierarchical mergers, from Milky Way globular clusters (Angeloni, Kritos et al. 2026) to the heaviest black holes clusters can grow (Kritos et al. 2026). See also Kritos & Cholis (2020; 2021).
Every merger carries clues about the cluster it came from.
Using statistics and machine learning, we infer star-cluster properties and formation channels from merger signals (Ng, Kritos et al. 2023; Antonelli, Kritos et al. 2023), and ask what intermediate-mass black hole mergers and spins will reveal to next-generation detectors (Kritos, Reali, Ng, Antonini, Berti 2025; Kritos, Reali, Gerosa, Berti 2024).
How did the first giant black holes grow so fast?
How did supermassive black holes get so big, so early? I model black hole growth in nuclear star clusters through mergers, collisions and gas accretion (Kritos, Berti, Silk 2023; 2024), coupled to cosmological merger trees (Kritos, Beckmann et al. 2025), with links to JWST’s Little Red Dots (Kritos & Silk 2026, ApJ; Kritos & Silk 2026, ApJL).
Could some black holes be as old as the Universe itself?
Could some black holes date back to the Big Bang? We study their mergers (Franciolini, Kritos et al. 2022), their pairing with astrophysical black holes (Kritos, De Luca et al. 2021), and whether they could seed Little Red Dots (De Luca, …, Kritos et al. 2026, PRL).
Stars torn apart by black holes and gravitational waves tell the same story from two sides.
When a star wanders too close to a black hole, it gets torn apart. I study how these tidal disruptions, including “micro” disruptions by stellar-mass black holes, connect to gravitational-wave mergers in the same environments (Kritos, Iacovelli, Perna, Berti 2026).
Mergers (left) and micro-TDEs (right) from the same star clusters, versus redshift (Kritos, Iacovelli, Perna & Berti 2026).
Last updated: October 17, 2026
Header image: ESA/Hubble & NASA, M. Häberle (MPIA), CC BY 4.0