Apr 2017
27 Mon
28 Tue
29 Wed
30 Thu
31 Fri
1 Sat 08:30 AM – 05:30 PM IST
2 Sun 08:30 AM – 05:30 PM IST
Apr 2017
27 Mon
28 Tue
29 Wed
30 Thu
31 Fri
1 Sat 08:30 AM – 05:30 PM IST
2 Sun 08:30 AM – 05:30 PM IST
Kilter is a conference on improving your body via better nutrition, fitness and habits.
In this first ever edition, the conference will feature talks on data-driven approaches to health and fitness; diets and nutrition; science of food; and food hacking. We are inviting proposals for talks, workshops and demos from researchers and practitioners on these topics.
Kilter aims to appeal to the widest possible range of individuals who are passionate about and curious to learn how the body works.
Proposals are currently closed.
We are looking for talks covering the following topics:
Please take a look at the submitted and confirmed proposals below before you submit yours.
Kilter is a three-track conference:
##We are inviting proposals for:
On event days, talk and activities held:
Proposals will be filtered and shortlisted by an Editorial Panel. Please make sure to add links to videos / slide decks when submitting proposals. This will help us understand your speaking experience and delivery style. Blurbs or blog posts covering the relevance of a particular problem statement and how it is tackled will help the Editorial Panel better judge your proposals.
We expect you to submit an outline of your proposed talk – either in the form of a mind map or a text document or draft slides or a blog post within one week of submitting your proposal.
You can check back on this page for the status of your proposal. We will notify you if we either move your proposal to the next round or if we reject it. Selected speakers must participate in one or two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.
A speaker is NOT confirmed a slot unless we explicitly mention so in an email or over any other medium of communication.
There is only one speaker per session. Entry to the conference is free for selected speakers.
As our budget is limited, we prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. Grants will be made available to speakers delivering full sessions (40 minutes or longer).
*Speaker travel grants will be given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.
Deadline for submitting proposals: 18 Mar, 2017
Conference dates: 1-2 April, 2017
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Ganesh Bagler
@gansbags
Submitted Feb 27, 2017
Have you ever wondered why do we combine ingredients in our recipes the way we do? Or for that matter, could we find scientific ways for altering diet to improve health? Our data-driven investigations aimed at probing patterns in traditional Indian recipes, in response to the first question, have led us to the discovery of a novel food pairing phenomenon in Indian cuisine. Our studies have revealed ‘culinary fingerprints’ of regional cuisines and role of spice as the molecular fulcrum of Indian recipes. Such data-driven explorations of food are opening new avenues for development of divergent applications in the domains of nutrition and health. One such direction is towards application of machine learning for ‘personalized nutrition’ that can potentially answer the second question, allowing us to leverage food as medicine.
Ganesh Bagler is an interdisciplinary researcher working in the areas of complex systems, computational biology, bioinformatics, in silico drug discovery, and applications of data science to health and medicine. He is trained in physics, computational techniques and computational biology, with PhD from CSIR-Centre for Cellular and Molecular Biology, and postdoctoral training from National Centre for Biological Sciences and Max-Planck-Institute for Molecular Genetics. He is credited with the observation of assortative mixing in residue interaction graph models of protein structures as well as discovery of exceptional ‘contrasting food pairing’ in Indian cuisine. His research involves questions on the interface of biology, medicine and computational sciences. Based on the discovery of ‘contrasting food pairing’ in Indian cuisine and culinary fingerprints in regional cuisines, his lab is presently intensely involved in finding data-driven strategies to leverage food for better health.
Apr 2017
27 Mon
28 Tue
29 Wed
30 Thu
31 Fri
1 Sat 08:30 AM – 05:30 PM IST
2 Sun 08:30 AM – 05:30 PM IST
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