AADARSH PATHAK
Carlton,VIC
Summary
Astrophysicist with a robust background in data analysis, statistical modeling, and computational techniques, poised to leverage expertise in transitioning into roles within data science or meteorology industries. Combining a passion for scientific exploration with advanced analytical skills, Aim to contribute to dynamic teams in solving complex problems and making data-driven decisions.
Overview
5
5
years of professional experience
Work History
PhD Projects
The University Of Melbourne
01.2022 - Current
- Utilized advanced statistical techniques to analyze emission line galaxy properties in the JWST FRESCO survey by comparing the model with the observation.
- Conducting in-depth analysis of galactic outflows utilizing post-processing techniques on hydrodynamic simulations, with a particular focus on the H-alpha emission line.
M.Sc Projects
Indian Institute Of Technology Indore
07.2019 - 06.2021
- Led research efforts to explore the topology of hydrogen distribution in the early universe, employing computational methods for data analysis and interpretation.
- Implemented Markov Chain Monte Carlo codes for cosmological parameter estimation, demonstrating proficiency in statistical modeling.
- Conducted data-driven analysis of time series data, including AGN and COVID-19 datasets, showcasing adaptability in diverse research environments.
Education
PhD -
The University of Melbourne
Melbourne, AustraliaM.Sc - Astronomy
Indian Institute of Technology, Indore
Indore, Madhya PradeshB.Sc (Hons.) - Physics
Vinoba Bhave University, Hazaribagh, Jharkhand
Hazaribagh, JharkhandIntermediate (12th Std.) -
Indian School of Learning, Jharia, Jharkhand
Jharia, JharkhandMatriculation (10th Std.) -
Indian School of Learning, Jharia, Jharkhand
Jharia, JharkhandSkills
Data Analysis and Modeling:
- Proficient in Python for data analysis, with expertise in NumPy, Pandas, and SciPy libraries
- Experienced in statistical modeling and machine learning techniques, utilizing Scikit-learn, Keras, and TensorFlow
- Applied knowledge of Bayesian inference and advanced statistical methods to extract meaningful insights from complex datasets
Computational Simulations:
- Demonstrated ability to conduct N-body dark matter simulations and semi-numerical simulations of reionization, showcasing strong computational skills
- Familiarity with photoionization modeling code MAPPINGS and radiative hydrodynamical code QUOKKA
Data Visualization and Presentation:
- Skilled in data visualization using Matplotlib and Seaborn, effectively communicating research findings to diverse audiences
- Proficient in presenting complex scientific concepts in clear and concise ways, both orally and in written reports
Technical Proficiency:
- Experience with Jupyter Notebook for data processing and analysis, as well as SQL for database management
- Competent in text processing using LaTeX and MS-Office applications
Adaptability and Learning Agility:
- Demonstrated ability to quickly learn new technologies and methodologies, adapting to evolving project requirements and industry trends
Collaboration and Teamwork:
- Proven track record of collaborating effectively within multidisciplinary teams, contributing to a positive and productive work environment
- Competent in text processing using LaTeX and MS-Office applications
Adaptability and Learning Agility:
- Demonstrated ability to quickly learn new technologies and methodologies, adapting to evolving project requirements and industry trends
Collaboration and Teamwork:
- Proven track record of collaborating effectively within multidisciplinary teams, contributing to a positive and productive work environment
- Competent in text processing using LaTeX and MS-Office applications
Adaptability and Learning Agility:
- Demonstrated ability to quickly learn new technologies and methodologies, adapting to evolving project requirements and industry trends
Collaboration and Teamwork:
- Proven track record of collaborating effectively within multidisciplinary teams, contributing to a positive and productive work environment
- Competent in text processing using LaTeX and MS-Office applications
Adaptability and Learning Agility:
- Demonstrated ability to quickly learn new technologies and methodologies, adapting to evolving project requirements and industry trends
Collaboration and Teamwork:
- Proven track record of collaborating effectively within multidisciplinary teams, contributing to a positive and productive work environment
- Competent in text processing using LaTeX and MS-Office applications
Adaptability and Learning Agility:
- Demonstrated ability to quickly learn new technologies and methodologies, adapting to evolving project requirements and industry trends
Collaboration and Teamwork:
- Proven track record of collaborating effectively within multidisciplinary teams, contributing to a positive and productive work environment
Affiliations
- Member of Astronomical Society of Australia
- Member of ASTRO 3D group in Australia
Certificates Qualifications Scholarships
- Certificate of participation for a talk in GFEACT-2022 2022
- Melbourne Research Scholarship from The University of Melbourne 2021
- Participation in the Annual Meeting of Astronomical Society of India 2021
- Merit Cum Means (MCM) scholarship from IIT Indore 2020
- International Astronomy and Astrophysics Competition Certificate 2020
- C for everyone, Programming Fundamentals (Coursera) 2020
- Joint Admission Test for M.Sc in IITs (All India Rank-284) 2019
- Diploma in Computer Applications, DCA (NIIT) 2016
Teaching Participation
- From solar system to the cosmos, Lab Demonstrator, School of Physics, The University of Melbourne, July, Nov 2023
- Subject matter expert in Chegg India for physics, March, 2024-ongoing
Mentorship Program
- IMNIS Engage, Dr. Susan Barrel, Sept 2023, Sept 2024
Presentations
- ANITA 2024 workshop program, 5-9 Feb, 2024 : Talk, Analytical predictions for emission line galaxy properties in the JWST FRESCO survey
- The Asia Pacific Regional IAU meeting 2023, 7-11 August, 2023 : Poster, Analytical predictions for emission line galaxy properties in the JWST FRESCO survey
- ASA ASM 2023, 3-7 July, 2023 : Poster, Analytical predictions for emission line galaxy properties in the JWST FRESCO survey
- First Light Conference, 12-16 June, 2023 : Poster, Analytical predictions for emission line galaxy properties in the JWST FRESCO survey
- ASTRO3D Science meeting 2023, 30 May-1 June, 2023 : Talk, Analytical predictions for emission line galaxy properties in the JWST FRESCO survey
- ANITA 2023 workshop program, 8-10 Feb, 2023 : Talk, Analytical predictions for emission line galaxy properties in the JWST FRESCO survey
- GFEACT-2022, 13-14 Dec, 2022 : Talk, Analytical predictions for emission line galaxy properties in the JWST FRESCO survey
- ASA annual meeting, June, 2022 : Poster, Using the Largest Cluster Statistics on 21cm maps to Constrain Reionization Models.
- ASTRO3D Science meeting, 2 June, 2022 : Talk, Distinguishing reionization models using the Largest Cluster Statistics of 21-cm maps
- PoSTER 2022, 3 May, 2022 : Poster, Distinguishing reionization models using the Largest Cluster Statistics of 21-cm maps
- 4th Global 21-cm Workshop, Oct, 2021 : Poster, Using the Largest Cluster Statistics on 21-cm maps to Constrain Reionization models
- SKA India workshop on 21-cm cosmology and reionization, April, 2021 : Talk, Using the Largest Cluster Statistics on 21-cm maps to Constrain Reionization models
- SKA 2021 Science conference "A precursor view of the SKA sky, March, 2021 : Talk, Using the Largest Cluster Statistics on 21-cm maps to Constrain Reionization models
- Astronomical Society of India (ASI 2021) meeting, Feb, 2021 : Poster, Using the Largest Cluster Statistics on 21-cm maps to Constrain Reionization models
- SAZERAC 21cm SIP conference, Jan, 2021 : Poster, Exploring topology of hydrogen during EoR.
- Reionization in Indore, Stockholm and Uppsala (RISU) meeting, Jan, 2021 : Talk, Distinguishing reionization models using the Largest Cluster Statistics of 21-cm maps
Collaborators
- Prof Stuart Wyithe: Director, Research School of Astronomy and Astrophysics, ANU
- Dr. Ralph Sutterland: Associate Professor, RSAA, ANU
- Dr Suman Majumdar : Associate Prof, Indian Institute of Technology Indore
- Dr Satadru Bag : Korea Astronomy and Space Science Institute, Daejeon, Korea
- Dr Rajesh Mondal : Department of Astronomy, Stockholm University, Sweden
- Dr. Mohd Kamran : Indian Institute of Technology Indore
Publications
- Distinguishing reionization models using the largest cluster statistics of the 21-cm maps, arxiv:2202.03701
- Interpreting the HI 21-cm cosmology maps through Largest Cluster Statistics I: Impact of the synthetic SKA1-Low observations, JCAP, May (2023), arXiv:2302.02727
- Analytical predictions for emission line galaxy properties in the JWST FRESCO survey (Pathak et al in prep.)
Public Outreach
- Participated in several public outreach activities of our department at IIT Indore.
- Presently, trying to make short bilingual (English + Hindi) explanatory videos for YouTube on several concepts of cosmology and astrophysics. YouTube channel: Link here
References
- Prof Stuart Wyithe, School of Physics, The University of Melbourne, Australia, swyithe@unimelb.edu.au
- Dr. Suman Majumdar, Department of Astronomy, Astrophysics and Space Engineering, IIT Indore, Indore-453552, M.P., India, suman.majumdar@iiti.ac.in, +91-731-660-3304
- Dr. Manoneeta Chakraborty, Department of Astronomy, Astrophysics and Space Engineering, IIT Indore, Indore-453552, M.P., India, manoneeta@iiti.ac.in, +91-731-660-3358
Timeline
PhD Projects
The University Of Melbourne
01.2022 - Current
M.Sc Projects
Indian Institute Of Technology Indore
07.2019 - 06.2021
PhD -
The University of Melbourne
M.Sc - Astronomy
Indian Institute of Technology, Indore
B.Sc (Hons.) - Physics
Vinoba Bhave University, Hazaribagh, Jharkhand
Intermediate (12th Std.) -
Indian School of Learning, Jharia, Jharkhand
Matriculation (10th Std.) -
Indian School of Learning, Jharia, Jharkhand
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