Hello, My name is Noëlie, I am a French Neuroscience PhD candidate at Einstein, in NYC. I study the non-motor functions of the cerebellum, at the circuit level. I am particularly keen on learning more about reward encoding and prediction error. I look forward to start my neuromatch course!
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Hi everyone! I’m Ann, an undergrad majoring in computational neuroscience and minor in mathematics at McGill University. 
I’m interested in learning, memory and decision making, particularly in this question: “how does brain instantiate components of memory (past experience) to guide decision-making in order to maximize the further reward, and how does uncertainty comes into play to determine the trade-off between exploration and exploitation behaviours. Besides, I’m broadly interested in machine learning and neural nets! One fun fact about myself, I found that the abbreviation of artificial neural networks is exactly ANN 
I’m a big fan of electronic music (Avicii and Martin Garrix) 
And I love philosophy, sociology and literature. Feel free to discuss with me any of these topics if you’re interested too lol
Looking forward to this cool event and chatting with you guys!
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Hi folks!
My name’s Zeke. I’m between a masters in math and stats at the University of Ottawa and a PhD in applied math at University of Montreal and Mila. I’m interested in cognitive things, like learning and memory, and how they can be implemented by biological and artificial agents. In my spare time I like making music and running around in the outdoors.
Very excited for the academy!! 
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Hi all!
I’m Marc Schwartz a first year PhD student at Deco’s group at the Universitat Pompeu Fabra, Barcelona interested in whole-brain dynamics, auditory spatial music perception, as Ambisonics, and emotion.
Looking forward to learning and contributing!
Cheers!
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Hello everyone,
I’m Guangyao Qi, a Ph.D. student from Institute of Neuroscience, Chinese Academy of Sciences. I’m very excited to join the NAM family as a TA. My current project focused on how the brain updates the prior knowledge to finally represent the perception of self. We use a virtual reality system to modulate the hand ownership of macaque monkeys, while recoding the single neuron activities in several brain areas according to the body representation. Hope my experiences of behavior modeling and machine learning decoding could help the students in my pod. And more importantly, hope everyone will enjoy this summer school.
Regards,
Guangyao
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Hi everyone, I’m Gonul Uludag 
I am a Ph.D. candidate in the Computer Engineering Department at Istanbul Technical University. My research interests lie at the intersection of statistical machine learning, optimisation, and computational & cognitive neuroscience. My dissertation research has been focused on developing novel hybrid probabilistic graphical models and optimization based frameworks for non-stationary and uncertain complex environments. The main goal of my research is to understand the neural dynamics of decision making and Dynamic Causal Modeling (DCM) for fMRI of brain networks. More specifically, it is concerned with developing novel algorithmic strategies that integrate probabilistic graphical models with combinatorial optimization approaches in order to model complex dynamical behaviors of the neuronal activities.
See you all later…
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Hi there!
This is Sophie, a 3rd year PhD student at Philipp Berens’ lab at the University of Tuebingen in Germany.
My main topic is the capability of neural morphologies for cell type classification, so which representations work well and which don’t and why but I have been detouring in a range of other things through-out the years. I am a Pythonian by heart and my experience lies within visualizations, graph representations, linear models and 'data science".
I hope to have a great time with all of you here.
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Hi everyone, 
I’m Farah Du, a graduate student majoring in artificial intelligence from China. During the last two years, I was devoted to building the continual learning system inspired by the formation of concept cells in the human medial temporal lobe. And I’m now working on the visual representation analysis of both the CNN models and the visual cortex. I am particularly interested in visual perception and excited about the possibility of integrating machine learning and deep learning techniques with neuroscience, towards building more general artificial intelligence systems.
Best,
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Hi everyone, I’m Qianqian Shi ! 
I’m a PhD candidate at the the Institute of NeuroScience which belong to the university of Chinese Academy of Sciences, and I’m interested in brain-like algorithms and what machine learning can inspire brain networks. I am working on the topic of multi-modal integration machine learning and the analysis of neural data.
Very glad to meet with everyone, and hope to have a nice trip with you! :smiling_face_with_three_hearts:
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Hello everyone!
I am Burak Gür, originally from Istanbul, Turkey. Currently, I am doing my PhD at the International Max Planck Research School for Neurosciences at the University of Göttingen, Germany. I am working at Silies lab where I dissect the visual motion processing circuits using the tiny brains of fruit flies. I love working with fruit flies because we can use the magical genetic tools that enable us to access and manipulate numerous cell types for obtaining a causal understanding of the brain function. Since my masters, I am also really interested in computational neuroscience and AI so I am doing my best to learn and improve myself. I am really looking forward for deepening my understanding and sharing my experiences as an NMA TA.
In my spare time, I climb/boulder, play flamenco-style guitar, cook and eat (a lot), meditate and take care of chili plants (the ones that can make you cry…). I also sometimes dance.
Really looking forward to the NMA and chatting/discussing with you all!!
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Hi everyone!
My name is Nate. I’m passionate about developing technologies that improve the quality of life of individuals with arm and hand impairments. I am a second year graduate student at the University of Pittsburgh in the Rehab Neural Engineering Labs. I work with my advisor, Dr. Jennifer Collinger to develop motor decoding algorithms using intracortical brain-computer interfaces. I’m looking forward to meeting you all and learning together as a community.
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Hi everyone,
I’m Mango. I’m going to enroll the Computation and Neural Systems PhD program at Caltech this fall.
About Research, I’ve been working on:
- a project about the role of neural oscillations in neural communications in sub-millimeter scale
- a project on the hand movement representation in human posterior parietal cortex, and M1, S1 cortex
- a wearable brain machine interface project
In future, I will investigate the visuomotor transform for hand grasp in human cortex under the advisement of Richard Andersen.
About tool, I use MatLab a lot and kind of fresh in Python. I appreciate if you could write the Python package for neuroscience here for reference.
About data, I mainly work with spike and LFP data.
I’m happy to meet all of you excellent guys here and wish to learn and contribute!
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Hi everyone, I’m Simon!
I am a machine learning engineer. I am proficient in Python programming and mathematical statistics. But I am interested in social cognitive science, and I am particularly fascinated by social interaction. Therefore, I am currently applying for a research assistant position in a related laboratory!
Cheers 
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Hi Mango,
We’re glad to have you on-board at NMA!
If you haven’t already, I’d recommend signing on to the Python workshop next week, as well as taking a look at the pre-course python material and the software carpentry introduction. You can find links to all of these here. Let us know if you need anything else!
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"Hi"
,
to introduce myself, I’m Amirhesam Rayatnia, a computer architecture master student, professionally I’m a senior software tech lead; but the interest of mine in researching are all about Complex System, Neurodynamics, Computational neuroscience and for sure Bio-inspired systems; and a long time ago, I was processing EEG/MEG signals, and I wrote an EEG/MEG micro-module in Cython(for real-time use case). currently, I’m working on multilayer signal propagation in complex networks, and fractal model generators(long story short). I found python quite handy for solving small to mid-range level problems so I’m using it frequently.
beyond the work and research, I spend my time playing DOTA and CS:GO.
Cheers
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All,
My name is Luke Pezanko and I am just beginning my PhD at the University of New Hampshire (UNH), well, officially starting Aug. 31st. In any case, I am just about to leave my current position as a researcher studying Alzheimer’s Disease and transcranial electrical stimulation (tES) at Beth Israel Deaconness Medical Center (BIDMC) in Boston, MA.
Unrelated to research/school, I like to hike, exercise, hang out with my pup Bruce, snowboard, and spend the remaining free time with friends and family. Also, if anyone has any interesting ideas for collaborations etc. I am more than happy to chat!
Cheers!
Luke
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Hi All My name is Lawrence. I’m a mathematics professor at Manhattan College in New York City. I love math, neuroscience, and music.
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Hello everyone, I’m Federico.
I’m a third year PhD student at the Branco Lab at the Sainsbury Wellcome Centre (UCL, London). In my PhD I’m studying decision making in innate behaviours in mice, but I hope to move my career towards more computational/theoretical work in the future.
Aside my PhD project, I spend a bunch of time working on open-science projects like brainrender and scidraw.io .
Looking forward to all of this!
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Hi everyone,
I am Neeraj Sharma, typing from Bhubaneswar, a city in India. I did a PhD in Speech signal modeling, analysis, and modification from Indian Institute of Science, Bangalore, India. Subsequently, I got interested in analyzing speech perception and did a postdoc at Carnegie Mellon University, Pittsburgh, USA. I got more interested in neuroscience as I analyzed talker change perception using behavioral and EEG experiments. Currently I am having an extend vacation due to COVID travel lockdown. While this has put my next postdoc at Univ. of Toronto offer on waiting, I am excited to be able deepen my understanding on computational neuroscience by contributing to NMA as a TA. I also like reading about scientific discoveries, watching world cinema, photography, cricket, and recently, I have started blogging about what I find interesting.
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Thank you Pavan. I’m going through these materials. It’s very helpful! In addition, is there a python test recommendation? How do I test my expertise about it? Thanks and looking forward to your reply.
Best,
Mango
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