Experience

McGill CERC in Genomic Medicine

• Canada
• Higher Education
• 1 - 100 Employee

• Graduate Student Researcher

  • Aug 2021 - Present

  - Generated an imputation reference panel for the Quebec population for use in genetic studies. - Processed large-scale genotyping data. - Implemented next-flow pipelines for imputation algorithms to infer missing genotype data in the target samples. - Validated the performance of the imputation reference panel using various quality control measures. - Learned analytical skills and experience with large-scale genomic data to implement a Population-Specific Imputation Panel in order to provide valuable support to genetic researchers and the scientific community in Quebec. Show less



Post-Graduate Students' Society (PGSS) of McGill University

• Canada
• Higher Education
• 1 - 100 Employee

• Student Volunteer

  • Oct 2022 - Dec 2022

  - Innovation Committee Member in PGSS. - Designed advertisement strategies for Innovation events. - Designed surveys for events. - Attend monthly meetings. - Innovation Committee Member in PGSS. - Designed advertisement strategies for Innovation events. - Designed surveys for events. - Attend monthly meetings.



Hospital of the university of Tübingen

• Germany
• Hospitals and Health Care
• 300 - 400 Employee

• Undergraduate Intern

  • Feb 2021 - May 2021

  - Conducted thorough pre-processing and feature extraction on large-scale medical imaging data(a single-cell multiplexed imaging dataset by performing CODEX) - Used a weakly supervised learning algorithm (developed in the Lab) to accurately classify tissue regions as cancer, normal, or border. - Evaluated the performance of the model through extensive experimentation and demonstrated its potential for clinical applications. - Conducted thorough pre-processing and feature extraction on large-scale medical imaging data(a single-cell multiplexed imaging dataset by performing CODEX) - Used a weakly supervised learning algorithm (developed in the Lab) to accurately classify tissue regions as cancer, normal, or border. - Evaluated the performance of the model through extensive experimentation and demonstrated its potential for clinical applications.



Sharif University of Technology

• Iran
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • Sep 2019 - May 2021

  - Explored the application of Autoencoders for Cancer type classification and Protein expression profile prediction from Gene expression data. - Implemented advanced Autoencoder architectures to extract relevant features from the gene expression data. - Conducted experiments to evaluate the performance of the model in accurately classifying cancer types and predicting protein expression profiles. - Analyzed results and optimized the model to improve performance. - Explored the application of Autoencoders for Cancer type classification and Protein expression profile prediction from Gene expression data. - Implemented advanced Autoencoder architectures to extract relevant features from the gene expression data. - Conducted experiments to evaluate the performance of the model in accurately classifying cancer types and predicting protein expression profiles. - Analyzed results and optimized the model to improve performance.



University of Tehran

• Iran
• Higher Education
• 700 & Above Employee

• • Jun 2019 - May 2021

  - Developed a tool utilizing Variational Autoencoders for image compression and prediction of saliency maps in a multi-task approach. - Implemented advanced techniques to enhance compression performance while maintaining image quality. - Conducted extensive experiments and analyzed results to improve the accuracy of saliency map prediction.

• • Sep 2018 - Sep 2020

  - Led a team of talented students in conducting cutting-edge research in the field of Bioinformatics. - Coordinated and managed various research projects and initiatives, ensuring that they were completed within schedule and budget. - Provided guidance and mentorship to junior members of the team. - Demonstrated leadership and organizational skills, leading the branch to achieve significant growth and recognition in the scientific community.

• • Sep 2019 - May 2020

  - Served as an Idea Validation Trainee, honing skills in evaluating the potential of new business ideas. - Worked closely with entrepreneurs and startups to analyze the viability of their ideas and concepts. - Conducted market research, analyzed data, and engaged with potential customers to validate demand. Provided constructive feedback and suggestions to improve the ideas. - Acquired hands-on experience in idea validation and market research, in order to have a successful career in the innovation and startup ecosystem in future. Show less

• • Jan 2019 - May 2019

  - Conducted tutorial sessions and provided one-on-one support to students to help them understand the course material. - Graded assignments, exams, and provided constructive feedback to students to help them improve their programming skills. - Demonstrated communication skills and a passion for teaching, contributing to the success of the course and the growth of the students.



The University of Auckland

• New Zealand
• Higher Education
• 700 & Above Employee

• Undergraduate Intern

  • Nov 2020 - Apr 2021

  - Explored various Artificial Intelligence approaches for emotion classification. - Implemented multiple algorithms including deep learning techniques, traditional machine learning methods, and hybrid models. - Conducted extensive experiments to evaluate the performance of each approach on large-scale emotion classification datasets. - Analyzed the results and compared the performance of each approach to determine the best solution. - Explored various Artificial Intelligence approaches for emotion classification. - Implemented multiple algorithms including deep learning techniques, traditional machine learning methods, and hybrid models. - Conducted extensive experiments to evaluate the performance of each approach on large-scale emotion classification datasets. - Analyzed the results and compared the performance of each approach to determine the best solution.



University of Montpellier

• Higher Education
• 100 - 200 Employee

• Undergraduate Intern

  • Sep 2020 - Apr 2021

  - Worked on applying Artificial Intelligence techniques in Phylogenetics Reconstruction. - Developed algorithms to infer evolutionary relationships between species based on genetic data(DNA, Protein sequences). - Conducted extensive experiments and analyzed results to improve the accuracy of phylogenetic trees. - Utilized Convolutional Neural Network to tackle complex evolutionary patterns and improve the computational efficiency of the reconstruction process. - Introduced an encoding technique for DNA sequences in this concept. Show less



University of Tehran Science & Technology Park

• Iran
• Investment Management
• 1 - 100 Employee

• Start-up Founder Trainee

  • Sep 2018 - Apr 2019

  - Gained hands-on experience in entrepreneurship and startup creation. - Worked with a team of like-minded individuals to identify potential business opportunities and develop a comprehensive business plan. - Conducted market research, analyzed data and customer feedback, and developed a go-to-market strategy. - Acquired valuable experience in all aspects of startup creation and management, to become a successful entrepreneur in future. - Gained hands-on experience in entrepreneurship and startup creation. - Worked with a team of like-minded individuals to identify potential business opportunities and develop a comprehensive business plan. - Conducted market research, analyzed data and customer feedback, and developed a go-to-market strategy. - Acquired valuable experience in all aspects of startup creation and management, to become a successful entrepreneur in future.