PhD Student in Materials Engineering

At the University of California Irvine, I’m pursuing my interests at the intersection between Materials Engineering and Computer Science. With undergraduate experience in Physics, I have expanded my research expertise to include machine learning, fluorescence imaging microscopy and targeted nanoparticle therapeutics. Furthermore, my internships at AbbVie and Tesla have demonstrated my competence in the pharmaceutical and tech industries as well as the translation between my research interests and industry impact. Get in touch if you’d like to connect on my research interests, work experience, or interesting opportunities.

Research:

• UC Irvine: Developed a Nanoparticle Adhesion Dynamics (NAD) simulation for optimizing disease diagnosis and drug delivery.

• UC Irvine: Developed a machine learning algorithm to label Fluorescent Imaging Microscopy data for improving breast cancer diagnosis.

• UC Santa Cruz: Measured fundamental properties of high dielectric constant perovskites for capacitor material development.

• Santa Monica College: Created a self sustaining hydrogen fuel cell apparatus to generate electricity.

Internships:

• AbbVie: Created Physiologically Based Pharmaceutical Models (PBBM) of small molecule drugs for clinical trial recommendations.

• Tesla: I undertook test method development and established standard operating procedures for glass surface characterization and damage resistance.

• NextEngine: I calibrated, debugged, built, and quality controlled 3D scanners to maintain high quality products.

Publications:

• “Quantifying and controlling bond multivalency for advanced nanoparticle targeting to cells”

My Links:

• Haun Lab Website

• Elliot Makhani’s Linkedin Profile

• Elliot Makhani’s Github