HELLO, I'M
Myank Singhal
Computational Astrophysics major
About
MY BACKGROUND
With a passion for astronomy and data analysis, I have the skills and experience to make a positive impact on the world.
Research Experience
2020 - 2021
at University of Bristol
under Dr Sotiria Fotopoulou & Prof Malcolm Bremer
Star Galaxy classification using ML
Created machine learning algorithms to classify sources using broadband photometry. The algorithms were designed to account for missing data and uncertainties in photometry. The thesis titled "Star-Galaxy classification with a novel neural network architecture" is available and Singhal et al 2022 is in the works.
2019 - 2020
at University of Delhi
under Prof. H.P. Singh
Light Curve Analysis for Variable Stars
Created a sequential neural network to generate light curves of RR Lyrae variable stars. Using physical parameters as inputs, we were able to successfully generate light curves comparable to theoretical models.
2018 - 2019
at UCLA
under Prof. Jean-Luc Margot
Stellar Radio Data Analysis for SETI
Analysed radio data from stars to aid in the search for extra-terrestrial radio signals from planets in these star systems. Designed a neural network to identify earth bound satellites within the signal to reduce the number of signals needed to be verified manually by a trained professional. The resulting paper has been published titled "A Search for Technosignatures Around 31 Sun-like Stars with the Green Bank Telescope at 1.15–1.73 GHz"
Education
2022 - Present
PhD Candidate
Dr.Ladislav Šubr
Charles University
Research: Evolution of systems in Galactic Nucleus with N body simulations.
2020 - 2021
Masters of Science by Research
Dr.Sotiria Fotopolou and Prof.Malcolm Bremmer
University of Bristol
Research: Classification of sources for the Euclid space mission using broadband photometric data and machine learning tools. The thesis titled "Star-Galaxy classification with a novel neural network architecture" is available online.
2016 - 2019
Bachelors of Science
University of California, Los Angeles
Graduated early with the departmental highest honors in astrophysics with a upper division GPA of 3.85.
Relevant Skills
WHAT I BRING TO THE TABLE
C++
Python
High Performance Parallel Computing
Linux
Machine Learning and Data Analysis tools
Git
SQL
English
Hindi
Relevant Projects
April 2018
3D4E at UCLA
Collision Detecting Autonomous Drone
Designed and 3D printed a drone with a camera. Used Ardupilot for way point autonomous flight and a YOLO (You only look once) Neural Network to enable object detection.
April 2018
LA Hacks 2018
Video Game: Fear Me
Designed and built a horror game with the Unity engine which adapts to the players brain activity captured live through a Muse headband. Won the Best Gaming Hack Award.
November 2017
Food Recognition app on iOS
Designed and built an iOS app which can identify a food item which the camera sees using a retrained Inception v2 model and then display its nutritional information.
March 2017
Raffle app on iOS
Designed and built an iOS app which digitizes the raffle system by allowing users to join using QR codes. The database was managed and stored on Amazon AWS.
Awards
WHERE I SHINE
Departmental Highest Honors in Astrophysics at UCLA
Dean’s Honors List at UCLA: Fall 2016, Spring 2017, Spring 2018, Fall 2018, Spring 2019
Interests
OUT OF OFFICE
Reading