AI/ML & Data Science for Biology Summer Program for High School Students

After the success of online pre-college summer programs on Biotech & Bioinformatics, we received several requests from students (in fact, parents mostly) to come up with STEM, coding, and data science summer programs. We have already launched a coding & data science summer program for Grade 7 – 12 students. Here is our new online Data Science for Biology Summer Program (for Grade 9 – 12 students). College students (in 1st year or 2nd year) are also welcome. No prior coding knowledge is required.

Register for Data Science for Biology Bootcamp 2021

AI/ML & Data Science for Biology Summer Program for High School Students

Co-authored by Tamoghna Das

Data Sciences (including Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics) and Biosciences (Biotechnology, Bioinformatics, and Biomedical & Life Sciences) are currently the hottest careers.

This 2-week online summer program on Data Science for Biology will help you to get a flavor of the advanced (college-level) courses and get a headstart for future careers. If you are looking for online summer computer science programs for high school students 2021, you have come to the right place.

This program is meant for absolute beginners including high school students and college students.

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Why AI/ML & Data Science for Biology and Biosciences?

The next big thing in data science is biology!  Actually, Computational Synthetic Biology (CSB) sometimes referred to as ‘computational systems biology’ or simply ‘synthetic biology’.

From the biological researcher’s perspective, CSB broadly refers to the design and fabrication (building) of biological components and systems that don’t already exist in the natural world or to the redesign and fabrication of existing biological systems.

To the data scientist and particularly the start-up world CSB is a newly emerging field that will capitalize on advances in deep learning (use of computer programs to predict some biological events). 

Depending on your personal sense of priority, CSB will remarkably accelerate cures to some of mankind’s most intractable diseases or be the foundation for the next generation of unicorns in the time frame of 5 to 7 years.

Perhaps the better way to frame this is which would you rather be working on, facial recognition to label your friends’ faces on Facebook, creating chatbots for that travel platform, or working to cure cancer and extend quality human lifetimes.

What kind of Data Scientists are Companies Looking for?

For those of you who might be interested in making the switch, your deep learning skills in CNNs, RNNs models will serve you well, depending on the company.  The job descriptions we looked at called out Python and R but not much else specific to bioinformatics.

The exception is that the descriptions we saw asked for more than a passing familiarity with biological research.  Our guess is that there aren’t enough data scientist with parallel degrees in biology to go around and that these companies will begin to favor strong data science over biology.

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How to Prepare for Careers in Data Science & Biosciences while in High School?

If we were advising students what to study as they approach high school and college the combination of data science and biology looks strong. 

Our guess is that this field is just getting underway and that to become as mature as tech AI is today will take another 5 to 7 years.  That could be a good long career run for young data scientists today, or a good entry point for new data scientists graduating from school in 5-7 years.

Where we are today with CSB is roughly equivalent to Henry Ford’s hand-built Model A.  Between advances in data science and automation in this field, we could be routinely designing or editing genomes on computer screens in the not too distant future.

Register for Data Science for Biology Bootcamp 2021

George Church, a genome scientist at Harvard Medical Schools says, “I think this could be bigger than the space revolution or the computer revolution”.  We think so too.

2-Week AI/ML & Data Science for Biology Summer Program for Grade 9 – 12 Students – FAQs

Who Can Attend This Program?

The curriculum has been designed for absolute beginners. So, high school students and college students – all are welcome. Its course content has been designed as per some of the top artificial intelligence summer programs for high school students.

Summer Program Content (Curriculum)

Class 1 (Mon):

  • Introduction to basic biology and immunology.
  • DNA, RNA, Antigens, antibodies
  • Identification of self and non-self antigens (cells, tissues, or organs involved and how to identify them)

Class 2 (Wed):

  • Concepts of vaccines (History and use)
  • The classic vaccine types, such as live/attenuated, killed pathogens, toxins
  • Mass production of early vaccines (during the time of Jenner)
  • Mass production of vaccines in today’s scenario (from classic vaccines point of view)

Class 3 (Fri):

  • Introduction to rDNA technology and gene editing and real-world application with explanation
  • Understanding genetic synthesis and how to use it for vaccine antigen design.
  • Types of recombinant vaccines and their mass production (an industrial perspective)

Class 4 (Mon):

  • Basics of python programming and using python to solve biological problems
    • (Learning about the python environment and introduction to libraries used in Data analysis)
    • Hands-on experience with problem-solving using the available technology
    • Overview of the current research and developments related to scientific computing

Class 5 (Wed):

  • Data plotting using matplotlib
  • Data visualization using seaborn
  • Data analysis using pandas, PyTorch or numpy
  • Programming exercises to students to check their learning outcomes plus problem solving sessions for students that require some extra help

Class 6 (Fri):

  • What is machine learning and why it is useful in biological sciences
  • How to understand machine learning as a bioscience student and application in biological problems.
  • Machine learning libraries and uses
  • Using Tensor flow and similar libraries.

Class 7 (Sat/Sun): Career & College Admission Guidance for Data Science and Biosciences

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Dates and Timings

  • 1st Batch: May 31 – Jun 11
  • 2nd Batch: Jun 14 – Jun 25
  • 3rd Batch: Jul 19 – Aug 1

Classes will be held in the afternoon/evening during weekdays (Mon, Wed & Fri). Only Class-7 (the final one) will be on a Saturday/Sunday.

Fees

Regular Fees: Rs. 15,000 / $210

Early-Bird Discount: Rs. 11,900 / $165

How to Apply for Data Science for Biology Summer Program?

Please fill up this Google Form to express your interest. One of our team members will call you for the enrollment procedure.

Trainers and Mentors of the Program

Jishnu Nair (Ex VIT, UC Boulder & IIT-Madras): Jishnu is co-founder of The Chroma Foundry. He is currently solving biological problem solving through the application of synthetic biology and associated concepts.

Tamoghna Das (Ex UCL, IISc, VIT): Tamoghna is co-founder of The Chroma Foundry. He is currently working on mathematical modeling and computational methods (using Python, Data Science & Machine Learning) for vaccine design and development.

Ajay Singh (Ex Harvard University, UT Austin, IIT-Roorkee): Ajay is a seasoned digital transformation leader who has conceptualized and driven a number of global digital solutions, strategic initiatives, new markets with a customer-centric, agile product development approach in a number of Fortune 500 companies such as American Express, BCD Travel, Travelport, Intel, HP, etc. Strong technical, startup, and product management background.

Tanmoy Ray (Ex Oxford, UMCU, UNSW): Tanmoy is a Career Adviser and Admission Counselor. He specializes in working with candidates on their career paths and applications for STEM subjects; particularly Data Science & Analytics; Biotechnology, Biomedical Engineering & Life Sciences; and Renewable Energy & Sustainable Systems Engineering.

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Tanmoy Ray
I am a Career Adviser & Admission Consultant. Additionally, I also manage Operations at Stoodnt. I did my Masters from the UK (Aston University) and have worked at the University of Oxford (UK), Utrecht University (Netherlands), University of New South Wales (Australia) and MeetUniversity (India).
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