COSMIC VISION. PREDICTIVE LEADERSHIP.
Astrophysical rigor applied to predictive modeling
Explore ExpertiseProfessional Journey & Metrics
PhD
from Rijksuniversiteit Groningen/SRON
CEO
at Hezarfen LLC & Redditus
7+
Years in Scientific Research
Data Scientist
for Science and Industry
BSc & MSc Studies
Sep 2008 - May 2016 | Istanbul University / Köln
Graduated near the top of the department (2nd ranked BSc) and completed an MSc focused on searching for radio jets in high-mass young stellar objects using VLA data and CASA software.
Doctor of Philosophy (PhD)
Dec 2016 - Dec 2021 | Rijksuniversiteit Groningen/SRON
Thesis: The Interaction of Stars with Gas Clouds in the Milky Way. Research included expertise with radio, millimeter, and sub-millimeter telescopes and complex data modeling. Awarded a PhD Scholarship.
Postdoctoral & Associate Scientist
Aug 2021 - Present | NASA-ARC / Leiden Observatory
Conducted Postdoc roles at Leiden and NASA-ARC (SOFIA Science Center). Focus on large astronomical survey analysis, specifically the SOFIA FEEDBACK Legacy Program data analysis using Far-Infrared observations.
CEO & Data Scientist
Hezarfen LLC & Data Science/Industry Focus
Applying rigorous scientific techniques (high-volume data reduction, predictive modeling, time-series analysis in Python/SQL) to solve complex real-world challenges in industry and resource allocation.
Professional Profiles
Data Transition & Predictive Focus
Astrophysical Rigor
My foundation in high-volume, complex observational data (submillimeter and far-infrared) established deep proficiency in data reduction, cleaning, and model-fitting in high-dimensional space.
- Data Source Expertise: SOFIA, EVLA/NRAO interferometry.
- Core Skill: Characterizing elusive gases (like CO-dark H₂) using complex tracers.
- Methodology: Developing and testing physics-based models against noisy, heterogeneous astronomical datasets.
CORE SKILL TRANSLATION
Time-Series Analysis
High-Dimensional Data Reduction
Complex Signal Processing
Business Concept Developer
Project Management
Predictive Leadership
This analytical rigor is applied to predictive modeling in business environments, particularly in financial and research resource allocation through Redditus.
- Outcome Focus: Building algorithms for resource optimization by identifying high-signal, low-noise trends.
- Challenge Translation: Translating stellar formation mechanisms into economic prediction models.
- Methodology: Utilizing advanced time-series analysis and ML models derived from astronomical signal processing.
Selected Publications & Data Methodologies
Kavak, Ü. et al. | (Focus on Interferometric Data Processing and Data analysis)
Kavak, Ü., van der Tak, F. F. S., Tielens, A. G. G. M., et al. | (Focus on Complex Data Fitting & Statistical Inference)
Kavak, Ü., van der Tak, F. F. S., Tielens, A. G. G. M., et al. | (Focus on Complex Data Fitting & Statistical Inference)
Active Research & Collaborations
My work involves ongoing partnerships bridging high-level academic research with impactful industry applications, ensuring scientific rigor in predictive ventures.