Bhawna Sharma
Roorkee/Online
Skills :
About :
I am currently pursuing a Ph.D. in Structural and Computational Biology. I completed my Bachelor’s degree in Microbiology (Honours), where I developed a strong foundation in molecu…
I am currently pursuing a Ph.D. in Structural and Computational Biology. I completed my Bachelor’s degree in Microbiology (Honours), where I developed a strong foundation in molecular biology, microbiology, and bioinformatics. My academic journey has been driven by a deep curiosity to understand biological systems at the molecular level and to apply computational and experimental approaches to address complex biological questions.
During my undergraduate studies, I was involved in a research project that provided me with valuable experience in in-silico analysis and scientific research methodology. This experience strengthened my interest in interdisciplinary biological research and motivated me to pursue advanced studies in the field.
Alongside my research, I have a strong interest in teaching and academic mentorship. I aspire to teach biology courses and contribute to building a strong conceptual foundation for students in the life sciences.
My long-term goal is to contribute to academia as both a researcher and an educator, advancing scientific knowledge while inspiring and guiding students in the field of biology.
Bhawna Sharma
Roorkee/Online
Skills :
I am currently pursuing a Ph.D. in Structural and Computational Biology. I completed my Bachelor’s degree in Microbiology (Honours), where I developed a strong foundation in molecu...
I am currently pursuing a Ph.D. in Structural and Computational Biology. I completed my Bachelor’s degree in Microbiology (Honours), where I developed a strong foundation in molecular biology, microbiology, and bioinformatics. My academic journey has been driven by a deep curiosity to understand biological systems at the molecular level and to apply computational and experimental approaches to address complex biological questions.
During my undergraduate studies, I was involved in a research project that provided me with valuable experience in in-silico analysis and scientific research methodology. This experience strengthened my interest in interdisciplinary biological research and motivated me to pursue advanced studies in the field.
Alongside my research, I have a strong interest in teaching and academic mentorship. I aspire to teach biology courses and contribute to building a strong conceptual foundation for students in the life sciences.
My long-term goal is to contribute to academia as both a researcher and an educator, advancing scientific knowledge while inspiring and guiding students in the field of biology.
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Courses by Bhawna Sharma
Online and Offline
6 Month
English
Roorkee, IIT Roorkee
On Call
Weekend
Course Content
This course explores the intersection of artificial intelligence (AI) and biological sciences, providing a comprehensive understanding of how AI technologies are transforming the field. It covers essential topics such as genomics, transcriptomics, and drug discovery, making it suitable for students interested in the applications of AI in biology.
Students who should enroll include those pursuing degrees in biology, biotechnology, bioinformatics, or related fields. This course is particularly useful for anyone looking to enhance their understanding of data-driven approaches in biological research.
What Students Will Learn
Introduction to biology in the context of big data.
Understanding biological databases and data resources.
Application of AI in genomics and genome analysis.
Insights into AI's role in transcriptomics and gene expression.
Exploration of AI in protein structure and structural biology.
AI applications in functional genomics.
Utilization of AI in drug discovery and biomedical research.
Impact of AI on biological imaging and microscopy.
Applications of AI in microbiology and systems biology.
Future directions and ethical considerations in AI and biology.
Throughout the course, students will experience a progressive learning journey, transitioning from foundational concepts to advanced applications, ensuring they are well-prepared for practical challenges in the field.
Teaching Method & Learning Approach
This course is offered in a online format, The teaching style is concept-based and practice-oriented, promoting active engagement with the material. Students will participate in interactive discussions, hands-on exercises, and collaborative projects to reinforce their understanding and application of AI in biological sciences.
Why Learn From This Tutor
Bhawna Sharma is committed to delivering clear and structured guidance throughout the course. With a focus on student support, she ensures that learners receive personalized assistance, fostering an environment conducive to growth and understanding.
Location Context
This course is based in Roorkee, specifically at IITR Lane, making it easily accessible for local students. The convenient location allows for in-person interactions and collaborative learning opportunities.
Benefits & Learning Outcomes
By the end of this course, students will achieve:
Clarity of concepts related to AI applications in biological sciences.
Increased confidence in utilizing AI tools for research.
Improved skills in data analysis and interpretation relevant to biological contexts.
Readiness for exams and practical applications in their future careers.