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Alexander K.

Alexander K.

Astrophysics PhD Candidate (Planet Formation Theory)

USA flagClemson, Usa

Key Skills

Software

Other

Top Subject Matter

Astrophysics (dust models, quasars, galaxy extinction)
Astrophysics (intergalactic medium chemistry)

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Data CollectionData Collection

Freelancer Overview

Extinction Due to Dust in Other Galaxies (Research with custom Python fitting program). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Philosophy, Clemson University (2023) and Bachelor of Science, University of South Carolina (2019). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming, Coding, and Data Collection.

Labeling Experience

Extinction Due to Dust in Other Galaxies (Research with custom Python fitting program)

Other

Developed a Python-based custom fitting workflow to estimate likely parameter values used in dust models for QSO observations. The work required preparing inputs, iterating model computations, and validating fits against known QSO profiles and observational data. While the resume frames this as scientific modeling, the labeling-like component was producing labeled parameter outputs derived from the fitting process. • DataType is modeled as computer-code-driven parameter labeling rather than image/object annotation. • Used a custom Python fitting program to generate probable values for variables of interest. • Constrained dust makeup of galaxies using background QSOs. • Contributed to a senior honors thesis based on the same research theme.

2023 - 2019

Analyzing the Intergalactic Medium of High Redshift QSOs

OtherData CollectionData Collection

Analyzed existing observational datasets to determine the chemical composition of the intergalactic medium for high-redshift quasistellar objects. The activity involved structuring and processing scientific measurements from multiple sources to produce labeled chemical-composition results for subsequent analysis. This constitutes data-preparation and derived-label generation from observational data. • Processed and analyzed observational data from varied scientific sources. • Focused on chemical makeup estimates for high-redshift QSOs. • Generated derived outputs used as labels for downstream scientific interpretation. • Collaborated in a research setting under Dr. Varsha Kulkarni.

2015 - 2017

Education

U

University of South Carolina

Bachelor of Science, Physics

Bachelor of Science
2014 - 2019
C

Clemson University

Doctor of Philosophy, Physics

Doctor of Philosophy
2023

Work History

C

Clemson University

Graduate Teaching/Research Assistant

Clemson
2023 - Present
C

Clemson University

Graduate Researcher (Astrophysics)

Clemson
2023 - Present