jeudi 24 décembre 2015

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mercredi 4 novembre 2015


Hello Readers,

Since last august, I've been recruited by a number of business school offering MBAs over North America (mostly the eastern part) as well as a few institutions in Europe. Here are the schools I'm considering:

1-: INSEAD (France).
2-: IE Business School (Spain).
3-: Harvard.
4-: Columbia.
5-: UBC (the only one in the west coast).
6-: McGill (Montreal)
7-: Concordia - John Molson Business School (Montreal too).

Among them, I must note that only Harvard and McGill are offering joint degrees in Medicine along with the MBA of which, I am particularly interested because I am investigating the Physician Executive career goal. The residence choice would be in Occupational Health, which, according to my homework, is a two year residency for which, I would consider doing after the base 3 years in Internal Medicine.

For each school, I will list what are the primary criteria for which I am considering a subset of the aforementioned schools.

INSEAD: the international focus which is very balanced and it is the top school in Europe according to Bloomberg. The caveat is that the Bloomberg ranking system include key performance indicator which are not relevant to a career as a physician. the program length is 10 months and I would very much consider starting my schooling in Singapore and then, move to France later after a short stint in Abu Dhabi.

IE Business school: The dual degree MBA + Master in big data. I have a huge interest in getting trained in statistical and analytic methods to use big data to my advantage. URL:

Harvard: the integrated MD/MBA program and the school of public health offering a residency program in Occupational Health ( which ties in nicely with a physician executive career goals because of the current state of clinical medicine and nursing, at least, here in the Quebec province where there is a shortage of workers in every healthcare related job or career and cause many occupational hazard on the current staff.

McGill: The CREATE PhD program in healthcare management ( No matter which MBA I end up taking, I will pursue this PhD program to research Occupational Health issues in the current healthcare system.

UBC and Concordia: No competitive advantage for me but at least, I'll do the courtesy of talking with the UBC professional staff to see if they consider opening an MD/MBA program or (much) later on, a Faculty program in Occupational Health & Healthcare Management.

The choice is difficult but what I'd be looking for is suggestion of question to ask; consideration to look for in the ranking of these and finally, the scheduling of all this curriculum (in the case of Harvard and McGill, it is much easier) but for that last part, I can rely on the academic advisers I will meet to help me figure it out.



mardi 13 octobre 2015

social engineering using the scientific method

Good evening dear readers,

Over the years, I have found out that I've been applying a model close to the scientific method if not, itself, to improve my social understanding on the world I live and the peoples I encounter. the end goal is to bring down as much as possible my anxiety level as I can in harmful situations.

My understanding of the scientific method is that, I have a favorite hypothesis given the knowledge that I have. I also work on creating as many hypothesis as I can imagine to test them and I eliminate as many of them as fast as possible, that include my own if it's not the best. I also assume my hypothesis to be wrong and do the work necessary to be right.

That takes a lot of time and is error prone but it's the best way I have found to improve my social knowledge while taking my anxiety level as low as possible.

Second method I use is the serenity prayer ( or my own version of it. change what I can change and don't stress over things that cannot be changed.

Third method: don't fret over any mistake that I make. while testing hypothesis, I am bound to make a royal lot of mistakes. I learn from them. This tie in with the second method in that, I learn from my mistake and don't bother with the social impact of my mistakes, _unless_, I can help the other party to understand my method and how she / he can learn from it. Some peoples can learn, some don't; more data for you. Find out the difference from those who can learn compared from those who don't.


mardi 8 avril 2014

New Election yesterday

Hello, customary readers,

I'm not sure I fully digested the Quebec provinces election tonight. Basically, the liberal party won a majority (70 seats out of 125) because they hammered 3 points: the separatists (of which, I disclose I am one but at the most stringent conditions), the "plan nord" and the exploitation of petrol in anticosti. They rely on the later two to bring income to the state, which is okay but I'll digress, especially because they give lots and lots to companies, investing in them and getting piecemeal result (the companies finance the political party in return...)

As for the Coalition Avenir Quebec, the rafted 22 seats (out of 125)  using 24% of the votes. It's not the party I voted for but in retrospect, I could have voted for it. They have sane policies but they are no different than the liberal, exploiting petrol and mining (plan nord).

the biggest loser of tonight have been the Quebecois party. They still have about 30 seats out of a possible 125 (using 25% of the vote) but then, their prime minister have lost in tonight election.

Quebec Solidaire, my party, although I don't know if I'll continue to be member have 3 seats with 7% of the votes.

Essentially, they all sucks but QS sucks less than the others. My Friend and I have sent a manifesto to QS in the first few days of the election and QS decided to not act on them. The manifesto was designed to increase Quebec's financial situation by nationalizing a number of transformation of the rich ressources we have. QS instead, prefer to increase the debt load of the province.

I still voted QS but actually, I could have voted for the lesser known political party for which, our guidelines would be more accepted.

My friend is not far off from starting a political party but this will lead to further divisions of the vote. In any case, I hope that QS will wake up and start to propose some much needed revenus increase with our works.


jeudi 19 décembre 2013

A work of art...

....And yes, I'm sold to big pharma....

mardi 10 décembre 2013

The brain is a particularly efficient machine :)

Hello Readers,

Lately, I've been doing thought experiment and tonight has been no exception. I set out to investigate actual supercomputers and became aware of China's tianhe-2 system which is the current world record speed holder at 33.86 petaflops (source: and major news outlets from a google search).

I also searched for scientific publications by the professor Henry Markram for the reason that he is investigating how a number of minicolumns (100) work in the mice brain on his 8192 core IBM Blue Gene/Q system which is able to crunch number to the tune of 22.4 teraflops (source: Prof Henry Markram has been successful in modelling the action of 100 columns and about 1 000 000 neurons on this computer.

The men brain host 20 to 23 billions neurons and the woman brain host 19 billions neurons on average (source: so in order to simulate it, we need a machine able to calculate at the rate of 1 exaflops.

Such a machine would be feasible using 4096 cores Parallella chips. These chips which are not yet designed (a 1024 core chip is in design at the moment) offer 6.4 teraflops of calculation per second (the 1024 core chip offer 1.6 teraflops) and are very competitive with graphics cards because, the current champion graphic system found in the Apple Mac Pro computer offer 7 teraflops in the form of 2 AMD Fire GL cards.

With the Parallella processor, we need 163840 of them to be able to build an exaflops machine and it's a huge undertaking in itself but fortunately, the intellectual property surrounding such chips are available on github so if I wanted, I could take such design along with the design of a 64 bit Arm Core from Altera ( and have 163840 custom chip made by Altera combining a 4096 cores Parallella circuit with a 4 core Arm 64 bit circuit in the same asic die and it's possible to put 4 of them in the average 1U server board.

About the power consumption, such boards are very efficient because I wouldn't need more than 1000W per server. I have input my system parameters on the Parallella calculator (source: and came out with a power consumption of 42 Megawatts per hour which is 2.5 times the 17 Megawatts of Tianhe-2 for 30 times the performance. The Parallella and the Arm cores are very much power efficient and used in mobile phones, thus the low power consumption.

The parameters used on the calculator are 1073741824 gigaflops, 0.8 gigahertz, 4096 cores, 4 epiphany chip per board and a 2.5 fudge factor for the power consumption of each processors to devise the system consumption.

The hardest part of such a system is designing how processors communicate with each others. Companies make big money from the interconnexion between these processors but they have to pay for a very large team of professional engineers to design the interconnect. In the case of the Tianhe-2, it has cost China about 500$ millions to design the supercomputer, part of the problem has been the reliance on powerful intel chips but also, the 1300 engineers working on the system but they designed more than the interconnect and there are some custom chips included.

Regarding the Parallella architecture, it's the work of 2 engineers and a number of interns and if I had the money to design such a supercomputer, I would enlist the help of a computer engineering professor who would submit the interconnect design problem to its research team.

Getting the chip (Parallella + Arm on the same die) would cost less than 10 millions and we have the power infrastructure needed to power such a system here in Quebec so I figure 20 millions for the system except the building infrastructure needed to host the system.

In retrospect, the human brain is a particularly efficient machine because it takes 42 Megawatts to emulate it.