About Me
Inspiration

Ever since middle school, when I learned that cancer wasn't curable—and after losing both of my grandfathers to the disease—I felt a deep connection to science and research. This personal experience inspired me to pursue a path where I could make a difference. I was thrilled to be accepted into the natural science program at NODET High School, a prestigious school in Iran that selects students through a nationwide entrance exam.
In high school, I teamed up with a friend to participate in the Khawrizmi Youth Festival. We worked on developing a computational visual test to help doctors detect multiple sclerosis in its early stages. Even though we faced rejection at first, we didn't give up. Our persistence paid off when we won first place in the biomedical sciences category the following year! This achievement fueled my passion and led me to pursue a bachelor's degree in biotechnology at the University of Tehran, along with a minor in computer science.
Coding a new path

In the face of COVID-19, scientists worldwide battled against biological obstacles. The pandemic made me determined to spend my life in scientific research aimed at bettering people's lives and it reminded me the importance of using "In-Silico" designs, where faster approaches may save thousands of lives. Starting with courses in calculus, statistics, and chemistry, I aimed to understand biology through numbers. It became obvious that biology and computer science intersect, I decided to minor in computer science.
Studying courses like molecular genetics and immunology introduced me to gene therapy and personalized medicine. Also, programming courses changed my perspective, teaching me critical thinking and utilizing different programming languages like Python, C++, and R.
Equipped with skills in biotechnology and computer science, I became a teaching assistant for multiple courses and strengthen my presentation skills through team projects on different biological and computational subjects.
Exploring

In the last year of my bachelor's, I interned at Vista Gene Enzyme Company. There, I learned lab procedures and enzyme production using microorganisms, working with techniques like gene sequencing and nucleic acid extraction. Later, I Interned at the Laboratory of Bioinformatics and Systems Biology (LBB) with Dr. Masoudi-Nejad conducting bulk RNA-sequencing and analyzing gene expression between normal and cancer cells under his supervision.
Studying courses like molecular genetics and immunology introduced me to gene therapy and personalized medicine. Also, programming courses changed my perspective, teaching me critical thinking and utilizing different programming languages like Python, C++, and R.
Equipped with skills in biotechnology and computer science, I became a teaching assistant for multiple courses and strengthen my presentation skills through team projects on different biological and computational subjects. To broaden my knowledge, I self-studied topics like machine learning and AI. I'm fascinated by how these technologies can solve problems in medicine and biology, potentially leading to breakthroughs in diagnosis and treatment. In an undergraduate research project under supervision of Dr. Fotuhi, I learned how neural networks can help us to predict DNA-transcription factor binding using transcriptomics. I've learned about neural network architectures and genomic data analysis, gaining proficiency in the entire pipeline from raw data to predictive models.
Exploring

In the last year of my bachelor's, I interned at Vista Gene Enzyme Company. There, I learned lab procedures and enzyme production using microorganisms, working with techniques like gene sequencing and nucleic acid extraction. Later, I Interned at the Laboratory of Bioinformatics and Systems Biology (LBB) with Dr. Masoudi-Nejad conducting bulk RNA-sequencing and analyzing gene expression between normal and cancer cells under his supervision.
Studying courses like molecular genetics and immunology introduced me to gene therapy and personalized medicine. Also, programming courses changed my perspective, teaching me critical thinking and utilizing different programming languages like Python, C++, and R.
Equipped with skills in biotechnology and computer science, I became a teaching assistant for multiple courses and strengthen my presentation skills through team projects on different biological and computational subjects. To broaden my knowledge, I self-studied topics like machine learning and AI. I'm fascinated by how these technologies can solve problems in medicine and biology, potentially leading to breakthroughs in diagnosis and treatment. In an undergraduate research project under supervision of Dr. Fotuhi, I learned how neural networks can help us to predict DNA-transcription factor binding using transcriptomics. I've learned about neural network architectures and genomic data analysis, gaining proficiency in the entire pipeline from raw data to predictive models.
Joining McGill

After multiple rounds of interviews, I was accepted into McGill’s Computer Science (Bioinformatics) master’s program, and I am working in Dr. Yue Li’s lab and co-supervised by Dr. Corina Nagy at the Douglas Research Centre.
My project focuses on the brain methylome and mental health. In plain terms: I want to find cell-type–level methylation signals across puberty-related ages which would be useful clues for understanding the biology of major depressive disorder (MDD).
Besides my master's thesis, I followed my passion for teaching here and served as Teaching assistant of COMP 273 and COMP 202 courses at McGill.
Balancing

Outside of academia, I have developed several other interests to add some variety to my life. I have been the captain of a local volleyball team for more than ten years, which has helped me develop leadership and teamwork skills. I also love to play other sports such as swimming and skating to stay active. Whenever I can find the time, I like to work on stimulating but relaxing puzzles. Photography and enjoying beautiful natural scenery are among other extracurricular activities I enjoy.