Leveraged deep learning techniques to model and predict the evolution of N-body simulations of galactic dynamics, achieving a significant speedup of over 100x and near-perfect accuracy. Generated and managed large-scale simulations and data pipelines to enable fast and efficient emulations. --- , , & : - Developed a PyTorch-powered Multilayer Perceptron (MLP) model with ~4.5 million parameters to accurately emulate complex N-body simulations. - Optimized the neural network with well-motivated, iterative improvements, ultimately implementing an effective 5-layer architecture with stochastic gradient descent (SGD) as the optimizer, mean-squared error (MSE) as the loss, and Tanh as the activation function. - Achieved a massive speedup of 100-1000x with near-perfect accuracy over traditional N-body simulations, utilizing the Kolmogorov-Smirnov (K-S) divergence test for model accuracy validation. & : - Engineered a Python-based pipeline to generate and visualize the dynamics of tens of thousands of simulated galactic discs using: NumPy, SciPy, Matplotlib, GalPy (galactic dynamics library) and wendy (N-body code). - Created substantial datasets of ~10,000 phase-space profile samples to train and test the MLP model. - Managed large-scale N-body simulations, dealing with ~5000 particles over 1000 time-steps each, showcasing proficiency in handling large-scale data. - Employed Git for efficient project collaboration and management. ---

Canadian Institute for Theoretical Astrophysics | Sep 2019 - Present

Graduate Research Fellow - Statistical & Machine Learning in Theoretical Cosmology

Developed machine learning algorithms to investigate complex cosmological problems as a graduate researcher at the Canadian Institute for Theoretical Physics. Awarded $105,000 for NSERC CGS-D, a highly competitive national scholarship granted to 330 out of 1,721 applicants, and $30,000 in other scholarships recognizing outstanding academic achievements and research potential. --- () : - Utilized Independent Component Analysis (ICA) to extract non-Gaussianity from early Universe cosmic fields, pioneering novel signal processing methods in cosmology. - Implemented a multi-scale, Fourier-filtered FastICA algorithm, addressing underdetermined problem domains and localization issues. & : - Leveraged high-performance Python libraries (NumPy, SciPy, scikit-learn, Matplotlib) to simulate, process, and visualize complex cosmic signals. - Implemented Python modules/classes to handle large cosmic simulations, processing 3D cubes with up to 8 billion voxels (2000^3) and simulating 1D fields with over 4 million datapoints. - Processed and stored ~18 million pixels of astronomical image data in various formats with Python, demonstrating expertise in big-data management. - Developed remotely on high-performance compute terminals in Toronto and Oslo, deployed Git for version control, and utilized Jupyter Notebooks to optimize project operations. : - Contributed to the international 'Cosmoglobe Collaboration', working with 20+ researchers to release a scientific paper (in prep) on an analysis of astronomical datasets with a complex Bayesian component separation pipeline. - Participated in international workshops in Santa Barbara (CA, USA) and Oslo (Norway), engaging with the scientific community and enhancing skills in Bayesian analysis, astronomical noise handling, and more. ---

University of Toronto | Sep 2019 - May 2023

Graduate Teaching Assistant - Astronomy & Astrophysics

Delivered multifaceted instructional support across 7 astronomy/astrophysics courses as a Graduate Teaching Assistant at the University of Toronto. Bolstered engagement and learning for hundreds of students, blending my deep understanding of astrophysics, mathematics, and programming with a strong knack for teaching. --- & : - Led ~50 engaging tutorial sessions, organized 20+ help-sessions/office- hours, and managed classrooms with up to 70 students for a diverse set of courses, fostering active participation and communicating complex concepts effectively. - Consistently commended for ability to simplify scientific concepts and guide students through thought-provoking Socratic questioning. , , & : - Crafted and contributed to 100+ problem sets for tutorials, exams, and assignments. - Designed Python coding problems in Jupyter Notebooks, bridging the gap between theoretical knowledge and applications. - Collaborated effectively with diverse teams of up to 20 TAs and professors per course to ensure successful course delivery. - Coordinated efforts in creating course content and resolving student queries, demonstrating strong teamwork and leadership skills. , , & : - Graded 1500+ student submissions and managed 100s of email/online queries, providing extensive feedback and delivering robust student support online and in-person. - Adapted to remote teaching methods for 5 courses during the pandemic, showcasing strong digital communication skills and flexibility. - Fostered practical understanding by assisting students with experimental astronomy projects (e.g. telescope operations) in 4 courses, demonstrating technical expertise and ability to guide others in applying theoretical knowledge to practical situations. ---

University of Richmond | May 2017 - May 2019

Undergraduate Research Fellow - Statistical Analysis in Astrophysics

Awarded US$4,000 by the National Science Foundation and University of Richmond to conduct research in astrophysics. Developed novel statistical techniques to enhance correlation analyses in large astrophysical datasets (~50,000 datapoints), overcoming limitations of previous methods (Singal et al., 2019)*. Actively involved in addressing a significant unsolved astrophysical problem – excess levels of radio synchrotron (Singal et al., 2018)**. --- & : - Devised and implemented innovative data binning and analysis strategies (such as Partial Pearson Correlation tests) in IDL (Interactive Data Language), a programming language learned from scratch. - Processed ~50,000 quasar measurements in structured datasets and synthesized complex results to create 100s of cogent visualizations. , , & : - Co-authored 2 journal articles and delivered talks at 3 international conferences. - Co-organized the Radio Synchrotron Background Conference (RSBC), coordinating logistical details and actively collaborating with over 20 leading astrophysicists. - Played a pivotal role in writing the summary report for RSBC**, synthesizing unfamiliar, technical concepts into publication-ready material. - Took initiative as the only undergraduate speaker at MARLAM6*** and one of only 2 at RSBC****, presenting complex ideas to over 40 experts across the 2 meetings. --- *J. Singal, ..., . , et al. (2019). ApJ. 877(1): 63 (13pp). https://doi.org/gqtfnn. **J. Singal, . , et al. (2018). PASP. 130(985): 036001 (21pp). https://doi.org/ gczwht. ***. (Oct 2018). MARLAM6, Baltimore, USA. https://tinyurl.com/2s4txwjm. (Talk). ****. (Jul 2017). RSBC, Richmond, USA. https://tinyurl.com/mr366h5c. (Talk). . (Jan 2018). 231st AAS, Washington, USA. https://tinyurl.com/6v356vak. (Poster).

University of Richmond | Aug 2016 - May 2019

Resident Assistant

As a Resident Assistant (RA) employed by the University of Richmond, mentored and supported 135 students over 3 years, empowering them to thrive in academic, social, personal, and professional pursuits. - Fostered community, mediated conflicts, ensured safety and security, strengthened diversity, and worked with multiple teams to organize educational and social events. - Monitored apartments blocks and residence halls at scheduled nights to identify policy infringements and alarming situations, responding appropriately and documenting incident reports.

Perimeter Institute | May 2018 - Aug 2018

Undergraduate Researcher - Mathematical & Computational Analysis in Theoretical Cosmology

Earned a US$4,000 fellowship to pursue theoretical cosmology research at the renowned Perimeter Institute for Theoretical Physics. Performed mathematical and computational modelling to predict novel cosmological phenomena, synthesizing and presenting findings in an honors thesis and at an international conference*. --- - , , & -: - Independently assimilated advanced concepts including general relativity, Einstein notation, Feynman path integrals, quantum field theory, and complex analysis through rigorous and rapid self-study. - Analyzed the Schwinger effect using quantum mechanical path integral formalism and Picard-Lefschetz theory, showcasing the ability to synthesize knowledge across different domains (physics and mathematics) to solve intricate problems. - Demonstrated an aptitude for independent, self-driven work and resilience in the face of complex challenges, critical for thriving in the fast-paced tech industry. , , & : - Deployed Mathematica and Maple to implement mathematical models, solve differential equations of motion, and generate complex visualizations. - Performed numerical approximations to solve oscillatory propagator integrals and plot particle trajectories in Minkowski and de Sitter space, demonstrating proficiency in using computational tools to analyze scientific problems. & : - Presented research findings at the 233rd AAS Meeting*, engaging with an international audience. - Produced an undergraduate honors thesis, contributing to academic knowledge base and refining abilities to articulate research findings in a professional, clear, and detailed written format using LaTeX. --- *. (Jan 2019). 233rd AAS, Seattle, USA (Poster). https://tinyurl.com/84wue7ye

University of Richmond | May 2016 - Jul 2016

Undergraduate Research Fellow - Mathematical Modelling in Biophysics

Undertook mathematical modelling and computational analysis of stochasticity in ultrasensitive molecular biocircuits, earning a US$4,000 research fellowship. Conducted novel biophysics research, using computational tools for model simulation and presenting results at an international conference*. Contributed to the understanding of signal flow through stochastic biocircuits of molecular interactions, vital for both systems and synthetic biology. --- & : - Developed and implemented a mathematical model of stochastic interactions in molecular biocircuits, demonstrating expertise in formulating complex mathematical modelling processes. - Leveraged Mathematica to simulate variances in molecular biocircuits using a form of the Pauli Master equation, displaying proficiency in using computational software to solve intricate scientific problems. & -: - Conducted an analysis of stochastic signals produced by bio-circuits containing feedback loops, in particular studying a modified version of the ultrasensitive MAPK (mitogen-activated protein kinase) cascade. - Successfully simulated the modified MAPK bi-stable switch, illustrating a robust understanding of biological systems and the ability to apply mathematical principles to biological phenomena. & : - Presented research findings at the 83rd SESAPS Conference, refining the ability to effectively communicate complex research ideas to a diverse audience. - Mentored a URISE (University of Richmond Integrated Science Experience) student as a voluntary initiative, showcasing leadership and the capacity to foster learning in others. --- *. (Nov 2016). South Eastern Section of the APS Conference, Charlottesville, USA (Poster). https://tinyurl.com/bd8tur9k

University of Richmond | Feb 2016 - Apr 2016

Instructional Technology Assistant (University Technology Learning Center)

- Guided customers on phone & in person about services offered at the Technology Learning Center, including printing, scanning & software. - Provided instructional technology production & development support to Information Services staff using HTML design skills, advanced authoring tools, multimedia software & peripheral multimedia equipment. - Assisted faculty, staff, & students in using multimedia applications, creating HTML documents or using HTML editing software for instructional-based academic projects

My Education

Take a look at my formal education

Master of Science - MS, Astronomy and Astrophysics · (SeptemberUniversity of Toronto | 2023

Bachelor of Science - BS with Honors, Physics | Minors in Computer Science & MathematicsUniversity of Richmond | 2019

Exchange Program, Physics & Philosophy · (September 2017 - DecemberMaastricht University | 2017

Cambridge A Level & AICE Diploma (Distinction), Physics, Mathematics, Chemistry, Biology, Economi...Roots School System | 2014

About Me

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