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I’ve joined Whip Media Group as Senior Machine Learning Engineer

I’m happy to announce that I’ll be joining Whip Media Group as Senior Machine Learning Engineer. I’d like to thank the team at Whip for allowing me to join them in this new step of their journey. In particular, Rob, Jason and Parker who have given me an amazing opportunity to push the technological envelope and the potential to revolutionize how an industry will function.

It’s been quite a trip with Voxel Healthcare and I wish Natasha, Niharika and David all the best as they continue with the company’s startup efforts. It will be my first departure from the Healthcare, in particular the Medical Imaging Analytics / AI space, which I have loved and continue to be very optimistic about the social good that these technologies will bring. I’m excited to see that projects that I worked on earlier such as Autoscope have continued on its path to commercialization.

I’m very excited to be joining a new industry and one that I’ve been so physically close to – having lived in Los Angeles throughout my PhD and during my time with Voxel Healthcare. I’ll also be joining a well established all star data science & data engineering team that has already done some groundbreaking work in the media space. In particular, I’m thrilled to see how predictive analytics can be tied to improving market pricing and efficiency in the media market where pricing can be difficult. I believe that this would mean a better consumer experience and an ability for content providers to offer a more targeted variety of media.

For consumers, check out the company’s TV Time app! It helps solve the difficult task of finding those gems amongst all the crazy amount of content out there and across so many streaming services. The app helps track your viewing across all the platforms so that it can make better recommendations. It even allows you to follow what your friends are watching, share your viewing experience and allow you to react to cliff hanger episodes from your couch while practicing social distancing.

A big thank you to all of you have support me through out my career, I could not have taken this next step without you. To all my students and teachers (many of you are both), you have all inspired me to continue to challenge yourself in this journey called life. I hope my work will inspire you to do the same.

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NIH: Clarification of K99 – 4 year Limit of Postdoctoral Research Eligibility

Part 2. Section III. Eligibility Information

1. Eligible Applicants

Currently reads:

Eligible Individuals (Program Director/Principal Investigator)

K99 applicants must have no more than 4 years of postdoctoral research experience at the time of the initial or the subsequent resubmission or revision application, and must be in mentored, postdoctoral training positions to be eligible to apply to the K99/R00 program. If an applicant achieves independence (i.e., any faculty or non-mentored research position) before a K99 award is made, neither the K99 award, nor the R00 award, will be issued.

Modified to read:

Eligible Individuals (Program Director/Principal Investigator)

K99 applicants must have no more than 4 years of postdoctoral research experience at the time of the initial or the subsequent resubmission or revision application, and must be in mentored, postdoctoral training positions to be eligible to apply to the K99/R00 program. If an applicant achieves independence (i.e., any faculty or non-mentored research position) before a K99 award is made, neither the K99 award, nor the R00 award, will be issued.

Parental leave or other well-justified leave for pressing personal or family situations of generally less than 12 months duration (e.g., family care responsibilities, disability or illness, active military duty) is not included in the 4-year eligibility limit. In addition, time spent conducting postgraduate clinical training that does not involve research is not considered as part of the 4-year research training eligibility limit. Only time dedicated to research activities would count toward the 4-year limit.

Additional clarifications are provided under Frequently Asked Questions. Potential candidates are encouraged to discuss their individual situation with an NIH Institute or Center Scientific Program Contact before applying.

Inquiries

Please direct all inquiries to:

Henry Khachaturian, Ph.D.
Acting NIH Research Training Officer
NIH Office of Extramural Programs
Telephone: 301-451-4225
Email: NIHTrain@mail.nih.gov

– See more at: http://grants.nih.gov/grants/guide/notice-files/NOT-OD-15-013.html

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2014-15 Medical Imaging Conferences Schedule

2014-15 Medical Imaging Conferences Schedule

Ordered by Deadline Date

Deadline Conference Location Dates Link
Aug 8th, 2014 SPIE Orlando Feb 21st – 26th, 2015 LINK
Nov 10th, 2014 ISBI New York City Apr 16th – 19th, 2015 LINK
Nov 12th, 2014 ISMRM Toronto May 30th – Jun 5th, 2015 LINK
Dec 11th/18th, 2015 IPMI Scotland Jun 28th – Jul 3rd, 2015 LINK
Dec 12th, 2015 SOBP Toronto May 14th – 16th, 2015 LINK
Jan 15th, 2015 OHBM Honolulu Jun 14th – 18th, 2015 LINK
Mar 6th, 2015 MICCAI Munich Oct 5th – 9th, 2015 LINK
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Breakthrough Brain Model

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The powerhouse team of Drs. Sharmishtaa Seshamani, PhD and Anna Blazejewska, PhD has created the first functioning chocolate-based model of the human central nervous system. “ The number of neuronal connections in this artificial system is yet unknown but we predict that it will be a game changer in chocolate artificial nervous systems.” Sinchai Tsao another fellow in their research group commented “…the unique combination of white chocolate (for white matter) and dark chocolate (for grey matter) was ingenious …” Another unique feature of this system is that it lends itself especially well for TBI (traumatic brain injury) research because of the inclusion of raspberry jam (not to be confused with raspberry pi – a computing system) as a model fluid for blood. Mengyuan Liu, another researcher group is an expert in neonatal Intra-Ventricular Hemorrhage (IVH) is interested in applying to simulated IVHs in neonates. Future improvements include improve modulation of sugar content in the WM layer as well as possible changes in the composition of the GM center. In summary, we really don’t know what to expect next from this chocolate-laden research but we eagerly await the next iteration of their ground-breaking model system.

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