About Me

I am an AI engineer focusing on system design, quantum computing and cancer research. I am open to a position as an ML/AI engineer.

You only live once, do YOLO research.

Geometric Representations of TEEA

A representation of the DNA code in Every Species, Everywhere, All over a superposition of Quantum states.

Two-State Lackadaisical Encoding

BP	Rotations
A	$(-\pi/2, -\pi/2)$
T	$(-\pi/2, \pi/2)$
G	$(\pi/2, -\pi/2)$
C	$(\pi/2, \pi/2)$

Independent Research and Working Thesis

Mathematical Oncology should be weirder: Tumor as Quantum Objects
- Twin-Particle: from dynamical geometry to DNA codes
  - Demo: https://www.youtube.com/watch?v=mk_9asOKKwQ&t=47s

Research Experience

Intelligent, personalized risk prediction for Intraductal Papillary Mucinous Neplasm (IPMN) of the Pancreas

PI: Dr. Aleksandra Karolak, Ph.D.: https://lab.moffitt.org/karolak/research/

(Awarded by the Gastrointestinal Oncology Department at Moffittt Cancer Center)

Implementing Large Language Models (LLMs) to analyze mutational profiles, ranging from DNA mutation, through codon alterations to gene expression changes.
Codon Alteration Analysis (CAT) using Group-based Machine Learning.

Algorithm and Structural design for Quantum Machine Intelligence

Ph.D. Supervisor: Kwang-Cheng Chen, Ph.D.

(The project is supported by Quantum Initiatives, University of South Florida: https://quantum.usf.edu/)

Quantum Embedding Search for Quantum Machine Learning (QES).
Bayesian Quantum Neural Networks.

Interactive intelligence for identification and characterization of melanoma

Ph.D. Supervisor: J. Morris Chang, Ph.D.

(The United States Special Operations Command (USSOCOM) partially supported the project under Partnership Intermediary Agreement H92222-15-3-0001-01)

Efficient pre-processing of skin lesion images for Deep Learning models.