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Polina Anikeeva

Polina Anikeeva is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Polina Anikeeva rather than just read about it. In short: Polina Olegovna Anikeeva (born 1982) is a Russian-born American materials scientist who is the Matoula S. Salapatas Professor of Material Science & Engineering as well as Brain & Cognitive Sciences at the Massachusetts Institute of Technology (MIT).

Polina Anikeeva — main illustration
Polina Anikeeva — illustration

Key takeaways

  • Polina Anikeeva belongs to engineering; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Polina Anikeeva to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Polina Anikeeva from memory before moving on to harder problems.

Reference excerpt

Polina Olegovna Anikeeva (born 1982) is a Russian-born American materials scientist who is the Matoula S. Salapatas Professor of Material Science & Engineering as well as Brain & Cognitive Sciences at the Massachusetts Institute of Technology (MIT). She also holds faculty appointments in the McGovern Institute for Brain Research and Research Laboratory of Electronics at MIT. She is Head of the Department of Materials Science and Engineering. Her research is centered on developing tools for studying the underlying molecular and cellular bases of behavior and neurological diseases. She was awarded the 2018 Vilcek Foundation Prize for Creative Promise in Biomedical Science, the 2020 MacVicar Faculty Fellowship at MIT, and in 2015 was named a MIT Technology Review Innovator Under 35.

Early life and education Anikeeva was born in Saint Petersburg, Russia (then Leningrad, Soviet Union), the daughter of mechanical engineers. At 12, Anikeeva was admitted to the Physical-Technical High School. She studied biophysics at St. Petersburg State Polytechnic University, where she worked under the guidance of Tatiana Birshtein, a polymer physicist at the Institute of Macromolecular Compounds of the Russian Academy of Sciences. During her undergraduate studies she also completed an exchange program at ETH Zurich where she learned to analyze the structure of proteins using nuclear magnetic resonance spectroscopy. After graduating in 2003, Anikeeva spent a year working in the Physical Chemistry Division at Los Alamos National Laboratory where she developed photovoltaic cells based on quantum dots (QDs). In 2004, she enrolled in the Materials Science and Engineering Ph.D. program at MIT and joined Vladimir Bulović's laboratory of organic electronics. While a graduate student, she was the lead author on a seminal paper that reported a method for generating QD light-emitting devices with electroluminescence tunable over the visible spectrum (460 nm to 650 nm). Her doctoral research was commercialized by the display industry, and acquired by a manufacturer that eventually became part of Samsung.

Research and career Anikeeva moved to Stanford University and was appointed to Karl Deisseroth's neuroscience laboratory as a postdoctoral scholar, where she created devices for optical stimulation and recording from brain circuits. The Deisseroth laboratory pioneered Optogenetics, a technique that utilizes light-sensitive ion channels such as Channelrhodopsins to modulate neuronal activity. Anikeeva worked on combining tetrodes, electronic modalities used to record neuronal activity, with optical waveguides to create optetrodes. In Deisseroth's lab, Anikeeva found a way to improve upon the fiber-optic probes they were using. Through her version, she incorporated multiple electrodes, allowing them to better capture neuronal signals. These optoelectronic devices could be used to record the electrical activity invoked by light delivered through the waveguide. Anikeeva returned to Cambridge, Massachusetts as an AMAX Career Development Assistant Professor at MIT in 2011. The Anikeeva laboratory, which is also referred to as Bioelectronics@MIT, engineers tools to study and control the nervous system. By pursuing wireless technologies, Anikeeva's group has demonstrated techniques that use magnetic fields and injected nanoparticles to activate cells within mice brains. Anikeeva's work emphasizes probing the brain with softer materials while integrating several functions into one device. Her research centers around creating a much less invasive way of stimulating brain cells. Her laboratory has two primary research priorities. The first is using the thermal drawing technique, a process originally developed for applications such as fiber optics and textiles, to create flexible polymer, fiber-based neural interfaces. In 2015, Anikeeva and co-workers first reported these flexible neural interfaces, which are also referred to as neural probes, and demonstrated that they could combine optical, electronic, and microfluidic modalities into a single implantable device for chronic interrogation of the nervous system. These fibers are a more advanced and scalable technology than their optetrode precursors. Since then, Anikeeva and her students have created more advanced neural interfaces that can be customized at their NeuroBionics lab and include materials such as photoresists and hydrogels. Anikeeva's second main research theme is using magnetic fields to wirelessly modulate neuronal activity. Unlike light, which has a limited penetration depth in biological tissues due to attenuation, weak alternating magnetic fields (AMFs) have minimal coupling to biological tissues due to tissues' low conductivity and negligible magnetic permeability. In 2015, Anikeeva and her students demonstrated in a key paper published in Science that magneto-thermal stimulation with magnetic nanomaterials could be used for wireless deep brain stimulation. Follow up studies from the Anikeeva laboratory then extended this concept to stimulate mechanosensitive channels. Anikeeva and her colleagues have also shown that these magnetic nanomaterials can additionally be used to trigger drug delivery, hormone release, and for stimulating acid-sensing ion channels.

… excerpt ends here. Continue reading the full article.

Illustrations

Polina Anikeeva illustration

Worked examples

Example 1 — a first encounter with Polina Anikeeva

Start with the simplest possible case. Write down what Polina Anikeeva claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Polina Anikeeva before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Polina Anikeeva ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Polina Anikeeva

In research
Polina Anikeeva appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Polina Anikeeva in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Polina Anikeeva is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1982 births, American biotechnologists, American materials scientists, so understanding it makes those chapters shorter.
In everyday life
Look for Polina Anikeeva outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Polina Anikeeva in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Polina Anikeeva means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Polina Anikeeva out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Polina Anikeeva in simple terms?

Polina Olegovna Anikeeva (born 1982) is a Russian-born American materials scientist who is the Matoula S. Salapatas Professor of Material Science & Engineering as well as Brain & Cognitive Sciences at the Massachusetts Institute of Technology (MIT).

Why does Polina Anikeeva matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Polina Anikeeva?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Polina Anikeeva.

Tags

  • 1982 births
  • American biotechnologists
  • American materials scientists
  • Living people
  • Los Alamos National Laboratory personnel
  • MIT School of Engineering alumni
  • MIT School of Engineering faculty
  • Peter the Great St. Petersburg Polytechnic University alumni
  • Russian emigrants to the United States
  • Scientists from Saint Petersburg
  • Women biotechnologists
  • Women materials scientists and engineers

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