Est. 2018 • Cambridge, MA

Decoding the Physics of Life

We merge computational mechanics with biological systems to reveal the entanglement principles governing cellular respiration and neural networks.

Explore Research View Grants

Current Research Thrusts

Lab Equipment
Dept of Neurology Active

Neural Entanglement

Investigating potential quantum correlations in macro-scale human brains using superconducting qubits.

Read Methodology →
Microscope
Bio-Synthesis Published

Cellular Resonance

Analysis of the decay rates of C-14 in organic tissue under low-temperature inert environments.

Read Journal →
Data Center
CompSci Cloud

Global Data Registry

Crowdsourced repository for validating climate change models through machine learning preprocessing.

Access Data →
Latest Discovery

Empirical Evidence of Zero-Point Energy in Enzymatic Catalysis

In our latest meta-analysis of over 400 independent trials, our laboratory has observed significant deviations in reaction kinetics that suggest a role for vacuum fluctuations in biological catalysts. This challenges the classical thermodynamic model of enzyme function.

"The data is overwhelming," stated Dr. Aris Thorne, lead physicist. "We are seeing statistical anomalies that defy standard error margins. This implies that life has evolved mechanisms to harness the vacuum, not just the chemical energy within molecules."

Upcoming Symposia

View Full Calendar
Oct 24, 2024

Annual Quantum Mechanics Summit

▼
Join world-renowned scientists for a day of panels discussing the "Observer Effect" in evolutionary biology. Live streaming available from 9:00 AM EST.
Nov 12, 2024

Open Lecture: Bio-Inspired Computing

▼
Featuring Sarah Jenkins from MIT Media Lab. A deep dive into neural interface design and its limitations in low-bandwidth environments.
Dec 05, 2024

Student Poster Competition

▼
Showcasing the top computational models from the fall semester. Categories include Pattern Recognition and Genomic Mapping.
24
Active Research Grants
4.2k
Peer-Reviewed Papers
156
Patents Filed
89%
Funding Recipients