I am an undergraduate student at the University of Toronto studying Mathematics and Physics. I have developed deep interests in several areas of physics. In particular, I enjoy working on important physical problems using interesting mathematical and computational tools. For a summary of my work, ranging from medical imaging technology to galaxy evolution, see my research. For a more complete academic summary, check out my curriculum vitae. If you have any questions or comments about my work, feel free to reach out.

Curriculum Vitae

Highlight: I recently did an interview for SURP student of the week.


My current research interests lie in Astrophysics. I have also been involved in Medical Physics research.

Star-Formation Quenching Due to Feedback From Active Galactic Nuclei

Supervised by Dr. Kartheik Iyer

  • Spatially Resolved Spectral Energy Distribution Fitting

    Determining the physical properties of a galaxy based on its emitted spectral energy distribution (SED) is a difficult task. However, with stellar population synthesis (SPS) we can do the opposite: calculate the SED of a hypothetical galaxy using its physical properties. SED fitting codes generally use computational techniques and SPS models to reconstruct the physical properties of galaxies from their SEDs. However, typical SED fitting methods are computationally expensive and infeasible for large samples of spatially resolved galaxies (i.e. galaxies in which the multi-wavelength light has been measured in many locations). To solve this, we are developing new SED fitting tools using machine learning with the hopes of accurately reconstructing galaxy parameters significantly faster.

  • Star-Formation Histories of Galaxies Hosting AGN

    Galaxies generally evolve from star-forming to non-star-forming over the course of their lifetimes; however, the mechanism of this evolution is not fully understood. One potential star-formation quenching mechanism is the energy emitted from active central supermassive black holes (known as active galactic nuclei or AGN). The thermal and kinetic energy emitted from AGNs may be heating and ejecting gas from their host galaxies, thereby hindering star-formation. Using AGN selection criteria and the SDSS-IV MaNGA survery, a large representative sample of galaxies hosting AGN has been compiled. We hope that reconstructing the star-formation histories of these galaxies with SED fitting will provide new insights into the process of AGN-driven star-formation quenching.

Configuration and Evaluation of the Positron Emission Mammography System

Prof. Alla Reznik's Research Group

More than half of women have dense breast tissue which cannot be distinguished from harmful cancer cells with traditional x-ray mammography. A different detection technique known as positron emission tomography (PET) relies on detecting the radiation emitted from tagged molecules given to patients. Positron emission mammography (PEM) is an organ-specific variant of PET that is unhindered by dense breast tissue and exposes the patients to a lower amount of radiation than regular PET. Prof. Alla Reznik’s research group is developing an advanced low-dose PEM system.

I worked on the performance evaluation of the system as it prepared for clinical trials. This involved developing tools to assess and compare flood histogram quality and calculate spatial resolution. Flood histograms help to ensure that the system is detecting the proper amount of radiation in all scintillation crystals. Spatial resolution is a measure of the smallest size at which abnormalities can be detected and is crucial for comparison of the system to other medical imaging technology. These tools will help to determine the best operating settings for the PEM system as well as play a role in easily tuning newly installed systems.


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