Alexander Brummer

Assistant Professor

College of Charleston

United States

Research Interests

Explore related searches

Professors in United States Professors in Immunology Immunology professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Alexander Brummer is an Assistant Professor at the College of Charleston, United States. His research focuses on various aspects of cellular dynamics, including CAR T-cell therapy, mathematical modeling in cancer treatment, and the integration of transcriptomic data to understand biological functions. Recent publications demonstrate his expertise in data-driven approaches and the application of machine learning to biological systems, as well as investigating plant and animal network structures.

Articles (10)

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Alexander Brummer

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables

Dose-dependent thresholds of dexamethasone destabilize CAR T-cell treatment efficacy

How axon and dendrite branching are guided by time, energy, and spatial constraints

Integration of single-cell transcriptomes and biological function reveals distinct behavioral patterns in bone marrow endothelium

A Mathematical Modeling Approach for Targeted Radionuclide and Chimeric Antigen Receptor T Cell Combination Therapy

Cancer as a Model System for Testing Metabolic Scaling Theory

Branching principles of animal and plant networks identified by combining extensive data, machine learning and modeling

Branching principles of animal and plant networks identified by combining extensive data, machine learning and modelling: Branching principles of animal and plant networks identified by combining extensive data, machine learning and modelling

Improving Blood Vessel Tortuosity Measurements via Highly Sampled Numerical Integration of the Frenet-Serret Equations

Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China

Collaborators (5)

Christine Brown

Heyrim Cho

Yingjun Luo

Denis O'Meally

Russell Rockne

Make your next move.