Are you a High-School Student and Interested in learning Computational Biology or Big Data Analysis, Genomics, Data Science & Machine Learning Techniques, or R and Python coding for biomedical research? If yes, then learn more below!

Many middle and high school students are interested in high-level research. Their interest in life sciences, robotics, coding, and other STEM disciplines coincides with the need to prepare a workforce that is ready for these careers and emerging challenges. Limiting factors for the integration of bioinformatics courses at the high school level include the lack of qualified trainers, complicated analysis tools, cost of infrastructure, and standard pre-requirements of code literacy and statistics. Moreover, bioinformatics leverages large datasets and requires computational expertise that can translate to a successful data science career in many other industries. These programs are recommended for anyone interested, including beginners that do not have a background in bioinformatics. If you are a young innovator and want to learn from the best resources and expert team then you can join the upcoming summer training programs offered by Pine Biotech, Partners, and collaborators.

Please pre-register below to get the webinar zoom links and useful free resources.

Omicslogic Bioinformatics High School Summer Training & Research Programs

✅ An international team of experts specializing in High School and undergraduate curriculums in computational biology
✅ Access to Omics Logic Educational Platforms to learn about cutting-edge science and resources
✅ Live Expert Zoom online sessions to guide beginners with the best utilization pathways
✅ Technical full-time support and personalized training by a team of mentors and student interns
✅ All user activity on educational portals for daily progress, program session recordings, and assignments
✅ The innovative point system, Leaderboard, and Daily Achievements for completing the course work and sessions
✅ Video tutorials and study material for all sessions for asynchronous learning (Specialized Courses and Projects)
✅ Access to Data Science, R & Python training using integrated Code Omicslogic Playground
✅ Option to choose from 45-days, 2-months, or 3-month training curriculums based on time availability
✅ Flexible scheduling and orientation for participants from all around the globe

Click here to Pre-register for the High School Summer Training Program and receive free resources

OmicsLogic "High School Summer Training Programs": Benefits , Outcomes & Mentors.

OmicsLogic programs bridges the gap between recent advancements in technology & learning

OmicsLogic programs bridge the gap between recent advancements in technology & learning.

Summer High-School Bioinformatics 2022.003

"High School Summer Training Programs" designed for young innovators to learn, experiment & achieve.

Key Topics Covered:

Big data, HPC and Cloud Computing

Many types of omics data require step-by-step preparation, exploration, annotation, and visualization to understand. The T-BioInfo platform was designed for big multi-omics data analysis hiding the complexities of data with a user-friendly and intuitive interface that eliminates the need for coding and advanced machine learning algorithms for data integration and mining.

NGS: Omics Data Types and Use Cases

A program that embeds data-driven concepts into biological projects, spanning the student learning journey from observer to participant in research. Project-based learning for big data bioinformatics is to go beyond the theory with real datasets, projects, and expert mentors. Work with curated datasets from publicly available repositories with easy-to-follow tutorials.

Computational Pipelines for Data Processing

Data processing for Next Generation Sequencing, Mass-Spectroscopy, Structural and phenotypic data. Build and adapt pipelines using similar approaches to data mapping, quantification, and annotation that are used to prepare data for downstream statistical analysis, train machine learning models and annotate features.

Introduction to R and Python Online bioinformatics coding exercises to learn and explore R and Python scripting and understand how to analyze and visualize -omics data to extract meaningful insights from large biological datasets. Learn, practice, and achieve bioinformatics greatness with concise exercises and interesting challenges.

The opportunity and benefits for you to join the High school summer training in Bioinformatics and Data Science

These OmicsLogic programs are designed to guide students by learning and then practically implement ideas into research projects. These programs are recommended for anyone interested, including beginners that do not have a background in bioinformatics. We are planning to have several sessions and spend hours together to help and guide students toward real research. Upon the completion of the training program, the participants of the training will be eligible for Certificates & Recognition based on their evaluation by experts. certification of completion will be awarded all the participants who successfully complete the program,Certificate of Excellence: To top 10 participants, Project Certification to outstanding performers: Top 3 Participants

LEARN FROM THE EXPERTS!

Bioinformatics skills are embedded in life sciences and in demand, well-paying careers. This discipline combines data science, statistics, and molecular biology which are often taught as separate topics. As a result, bioinformatics and biomedical data sciences are rarely available for high school students (outside of major biotech hubs) due to the lack of teacher competency, complex bioinformatics tools, big datasets, and the lack of practical exposure. Prof. Sona Vasudevan from Georgetown University, USA explains how we live in a world of data and how information technologies and data science can help extract information from biological data - which is bioinformatics.

Dr. Sona Vasudevan

Professor of Biochemistry and Molecular Biology, Georgetown University, USA

She also serves as an adjunct senior bioinformatics scientist for Protein Information Resource (PIR) and directs the dual-degree program (MD/MS) in systems medicine, a program she created. Her expertise is in structural biology, structural bioinformatics, homology modeling, protein-ligand interactions, antibody-antigen interactions, drug discovery, and systems medicine.

Dr. Mohit Mazumder

Business Development Head at Pine Biotech

Dr. Mohit Mazumder has over 12 years of research & industry experience. He completed a Masters's in Bioinformatics from Jamia Millia Islamia and a Ph.D. in computational biology & chemistry from Jawaharlal Nehru University (JNU). He is an expert in machine learning in application to biomedical & chemical data with over 40 publications in bioinformatics and numerous award for his scientific research and developing training structures for beginners in bioinformatics and data science.

Dr. R.L. Narayanan

Research Consultant and Mentor at Pine Biotech

Dr. Raghavendran Lakshminarayanan is an accomplished computational biologist with more than 4 years of research experience in subjects/areas like multi-omics data analysis and data science methods in precision oncology, and protein/DNA structural bioinformatics. With a strong background in Biophysics and Bioinformatics, he earned his Ph.D. in computational biology from the Max-Planck Institute, Germany.

The Bioinformatics fellowship is a structured program that guides students through various areas of Big Data Bioinformatics Research using practical examples. During this program, we go through several high-quality research publications and learn about applications of computational biology in projects these publications describe. This kind of experience allows beginners to try computational biology techniques on public domain data, making it possible to work with large files and extract meaningful information from patient samples, animal models, cell-lines, and microbiota. The program provides support and mentorship, therefore it is an intensive research program involving training tasks, access to our online sessions and a guide on the implementation of learned skills to proposed research ideas.

The research fellowship program is designed to provide support and guidance on the development of an independent research project within a given timeframe (3-6 months). During this time, participants meet on a weekly basis to share their progress and get feedback from the program coordinators. They can also request one-on-one sessions with a mentor on a weekly basis or meet in smaller focus groups.

Meet "Hannah" One of the Champions of the Program

Type 1 Diabetes is important to Hannah and her family. Determined to find the root cause, she turned to bioinformatics (a big data analysis toolset that combines biology with computer science and statistics.) Among Hannah's many high school accomplishments, last year she won First Place at SEMO Regional Science Fair in the category of Physics, The Society for In Vitro Biology Certificate, the United States Air Force Certificate of Achievement, The Yale Science and Engineering Award, First Place and Best in Category at SEMO Regional Science Fair in the category of Biomedical Science, 2nd Overall and Top Senior project at SEMO fair, International Science and Engineering Fair (ISEF) Observer 2019, ISEF Finalist 2020, Missouri Junior Academy of Science Highly Superior Award and advanced to State two years in a row, with the opportunity to present research to the Director of the US Trademark and Patent Office, and she is in the process of having her research peer-reviewed for publishing.

Meet "Andres" winner of the Prestigious Potamkin Award

Andrés Muedano Sosa, a High School Student at Colegio Suizo de México offers a great example of how a high school student can make a difference in the scientific community with the right amount of quality training.

Under the guidance of Mentors at Pine Biotech Andrés completed his research project on “Insilco Transcriptomics Analysis of Microglial cells - Towards a Global Understanding of Immune Activation in Alzheimer’s Disease”. For his innovative and groundbreaking work to push forward the study of brain degenerative diseases, Andrés won the Potamkin Prize for Students and the 4th Award in the Biomedical and Health Sciences category at Regeneron-ISEF 2022.

FEEDBACK FROM THE SUMMER HIGH SCHOOL 2021 PROGRAMS

Natalie Chang

New Rochelle High School

The complete program topics were really interesting. I was able to learn a lot of new things. I was personally not able to give in so much time during and after the sessions for practice and learning. At some points, I felt the flow of the teaching was apt for me to be able to grasp it, especially during hands-on sessions. I look forward to learning more from the resources."

Andrés Muedano Sosa

High School Student at Colegio Suizo de México

I wanted to share with you that my project won first place nationwide at the Mexican Science Cup and that I have been selected to represent Mexico at the Regeneron International Science and Engineering Fair. I'm beyond excited.”

Kieran Freed

New Rochelle School

"This program was a great review and exploration into different omics technologies and the field of bioinformatics. I came in only taking a basic Biology course in high school, so while these concepts were all very new to me, I think it was presented well. I liked how everyone was very open to answering all our questions. I liked the hands-on part of the session where we did some work on pymol as well." - Kieran

Jack McCormick

High School Student

OmicsLogic Bioinformatics & Data Science Research Program has been really helpful in building my basic understanding of these fields. The mentors were really helpful throughout the program and the team was always there to assist with the resources. I would really recommend this program to all the high school students interested to get into research

Insights from the Webinar (High School Summer Training Program)